Abhishek Kaul — AI Strategy & Transformation

Digital Strategy GenAI & Advanced Analytics Sustainability & ESG Cloud & Data Engineering Manufacturing / Retail / Supply Chain / Commodity SAP S/4 Executive Engagement

"Curiosity, collaboration, and persistence make everything possible."

I translate complex business problems into production-grade AI and data systems. Twenty years at IBM in technology consulting and leadership; the last ten focused on predictive AI, GenAI, and cloud data platforms for energy, infra, commodities, manufacturing, retail, and real estate clients. In my current role as Associate Partner, AI Strategy & Transformation, I lead strategic client portfolios, drive P&L accountability, and deliver outcomes across Industry 5.0, SAP transformation, and Next-gen AI. Known for a purpose-driven approach, a bias toward measurable outcomes, and building high-performing teams.

Based in Singapore; delivered across 20+ countries including India, Sweden, Germany, Austria, Italy, the US, UAE, and China. Two granted US patents. Doctoral scholar at Golden Gate University (DBA, 2024–2027) researching GenAI adoption in technology consulting firms.

Highlights.

now

updated 2026-04

Selected as an inaugural SGLN Tech Leader — Singapore Leaders Network's technology-industry cohort, managed by the Human Capital Leadership Institute (HCLI) and supported by the Singapore EDB and IMDA. Programme page.
Leading Agent9D for Keppel Infra — an engineering knowledge assistant using domain ontologies, engineering document intelligence, and expert-guided AI training for Waste-to-Energy engineering knowledge capture. Featured in Keppel's AI Edge.
Account Partner for Far East Organization and BP Singapore.
Writing my DBA thesis — Strategic Impact of GenAI on Technology Consulting Firms — focused on how GenAI reshapes delivery models, client engagement, and solution economics.
ExCo member, Business Analytics Chapter, Singapore Computer Society.

bio

I grew up in India, trained as an Electronics & Telecommunication engineer at Pune University, and took an MBA at IIT Kharagpur. I joined IBM India in 2006 as a SAP Supply Chain consultant and spent the first decade deep in supply chain and ERP-led business transformation across the global steel, metals, and manufacturing industry — enough plants, mills, and refineries to build a strong intuition for how physical businesses actually run.

I moved to IBM Singapore in 2016 and pivoted into analytics, then AI, then GenAI. I've picked up each wave as it landed — SPSS, then Python, then deep learning, then GenAI, and now spec-driven coding — so I can keep bringing innovative solutions to clients that add real value to their business. I am an Associate Partner in IBM Consulting's Singapore practice; my DBA research sits inside the same question: how GenAI is remaking the economics and delivery model of technology consulting.

I am a self-starter, product-minded, and services-oriented. I like working at the boundary between technical teams and business stakeholders where translation is the actual work. I hold two US patents and have written peer-reviewed chapters on AI ethics for virtual assistants, predictive-maintenance scheduling, and analytics for the mining industry (Springer, IntechOpen).

selected work

A chronological-ish selection.

Agent9D — Keppel Infrastructure (Waste-to-Energy)

2026-01 — present

Engineering knowledge assistant for Keppel's Waste-to-Energy engineering teams. I'm the project lead and AI SME — scoping domain ontologies, engineering document intelligence, expert-guided training loops, and the requirements spec. The goal is to capture and make accessible the deep tacit knowledge that currently lives only in senior engineers' heads.

Featured on Keppel's corporate AI narrative; C-suite sponsored.

SAP S/4 HANA RISE — Greenfield — Yeo's

2024-07 — 2025-12

Account Partner and BPR / AI Lead for a full greenfield S/4 HANA RISE implementation including SAP Group Reporting and SAP DRC for e-invoicing. On top of the core ERP work, I ran business process reengineering and layered in AI pilots for supply chain.

Delivered with high NPS from the customer.

Brownfield SAP S/4 HANA + AMS — Far East Organization

2023-01 — present

Upgrade from SAP ECC to S/4 HANA with Cloud Process Integration, Flexible Workflow, and SAP Fiori, followed by a 5-year AMS. Account Partner and AI Lead — including GenAI pilot development layered on top of the core programme. IBM case study.

Pre-trade analytics platform — BP trading benches

2022-01 — present

A custom big-data analytics platform on AWS ingesting AIS vessel data and external signals to identify supply-demand gaps at refineries. Account Partner and AI Lead. Ongoing product enhancements — shifted the engagement model from project-centric to product-centric, which I wrote about in this essay.

Vessel chartering analytics — Vale

2022-03 — 2023-02

Big-data solution on Azure for vessel supply-demand prediction, feeding into time charter rate prediction. Led delivery, a design thinking workshop, and the maritime domain translation. Wrote up the approach to building the business case here.

Used by Vale's marketing team as a reference before committing to a charter.

Crew turnover analytics — Pacific Carrier Limited (KSL)

2021-08 — 2022-05

Crew turnover attrition analytics on Azure plus a roadmap of maritime operational use cases. Established the analytics foundation for PCL's operational intelligence programme.

Global plastic-waste data lake — Alliance to End Plastic Waste

2020-06 — 2022-01

Data & analytics lead for a global data lake on IBM Cloud consolidating external plastic-waste data with a governance framework and archetype modelling to fill missing-data gaps. IBM case study.

Identified viable interventions for reducing mismanaged plastic waste.

Digital twin for power-plant operations — Sembcorp

2020-01 — 2021-02

AI Lead for a digital-twin deployment on Azure covering real-time plant monitoring, CCTV-based PPE safety-violation detection, and automated daily P&L reporting. The self-learning digital-twin idea behind the programme later became a granted US patent.

Reduced daily P&L report generation from 5 hours to 5 minutes; deployed real-time monitoring and proactive safety-violation detection.

Self-service data lake for S&OP reporting — Delfi

2019-02 — 2019-12

Architect for a cross-country data lake and self-service reporting solution on AWS supporting Sales, Supply Chain, Finance, and Operations.

Reduced commercial and management reporting effort by >25%.

Haul-truck predictive maintenance & digital roadmap — United Tractors

2018-08 — 2019-03

Analytics SME and digital solutions lead for a transformation journey including a command centre, employee app, and customer app. Led the analytics use-case roadmap and the predictive maintenance pilot in SPSS.

Melt-flow-rate ML model — Denka

2018-04 — 2018-09

AI solutions lead for a data-science engagement translating chemical-manufacturing domain requirements into hypotheses for optimal catalyst quantity during batch-to-batch and grade-to-grade changes.

Predictive model for optimal catalyst quantity, reducing material waste.

Store and staff productivity analytics — Bata

2017-12 — 2018-05

ML and deep-learning models for product bundling campaigns, member-segment promotions, and store productivity. Built the benefit case and led the engagement as PM.

Watson Marketing pre-sales chatbot — Electrolux

2017-08 — 2018-01

Implemented Watson Assistant with backend API integrations, telemetry, and call-back features for a pre-sales conversational discovery experience.

+10% product page hit rate through conversational product discovery.

Full project-by-project detail from older IBM engagements live in the two collapsibles below.

Cognitive Studio Singapore (2016 – 2017) — 15+ design thinking / Watson / ML engagements

During the IBM Innovation Studio years, I ran the Industry Analytics function — facilitating design thinking workshops and leading proof-of-value builds using IoT, Watson, machine learning, NLP, and visual recognition. A representative list:

Indonesian mining contractor — digital reinvention roadmap workshop; led PoC for predictive maintenance and spare-parts forecast on dump trucks.
Indonesian telco — fleet management solution workshop with IoT prototypes.
Malaysian palm producer — digital reinvention roadmap for plantations, supply chain, and refinery; led yield prediction models for palm plantations using big data and ML.
Malaysian tunnel boring company — predictive maintenance of cutter head plus operator advisor prototype.
Philippines geothermal producer — productivity and NPT-reduction workshop for reservoir and drilling engineers.
Australian mining company — failure prediction for car dumpers / VSD drives using ML; plus HR and Finance design thinking + Watson follow-on.
Australian online retailer — customer segmentation and basket analysis models.
Thai petrochemical company — predictive maintenance for compressors and quench oil towers.
Thai telco — chatbot prototype integrated with Facebook for a promotion use case.
Large oil & gas company — New Energies division: design thinking on the "customer as energy producer/consumer" five-year horizon.
Singapore agriculture firm — image classification model for rice smut disease detection.
Singapore insurance & banking firm — design thinking to monetise combined data sources.
Singapore recruitment firm — resume-to-job matching using text analytics.
Singapore electronics appliance company — incident trend detection on call-centre logs using Watson NLP.

Project details (2006 – 2016) — SAP & Metals & Mining years

The role-progression above is the summary. Below is the project-by-project backup — the actual engagements that built the Metals and SAP muscle and seeded the pivot to analytics.

IBM IP & CP CoC — Metals Segment Lead (2014 – 2016)

Drove signings through direct client-engagement support; responsible for $200M+ in Metals-segment sales over this period.

French pipe manufacturer — sales-order management process audit and benchmarking.
Large Indian metals & mining player — KPI benchmarking for aluminium and copper across mining, smelting, maintenance.
Largest stainless steel producer — trading-loss reduction through nickel commodity-fluctuation management.
Brazilian mining group — S&OP process improvement for Malaysian port and transshipment operations.
Australian flat steel producer — CIPA supply chain review and improvement identification.
Russian-American pipe manufacturer — multi-plant ERP deployment for US supply chain.
Indian-European steel manufacturer — smart steel factory manufacturing re-design.
Gothenburg bearing manufacturer (SKF) — conceptual design aligned to the group's 2020 end-state vision.
French industrial manufacturer — QA for a business transformation harmonising functional practices.
Indian mining, power & trading company — IT solution for a coal trading business.
NYC Industry Co-Lab — Metals segment leader; PoV development across commodity trading & risk, energy optimisation, integrated quality and asset management, EPM, IT-OT convergence.

SKF "UNITE" ERP Programme — Make / MES process lead (2013 – 2014)

Group-wide ERP template on SAP Business Suite using IBM Ascendant. Led end-to-end delivery of planning (MPS, APS, MRP), production execution, MES, and external processing. Guided 365+ onsite mandays of custom SAP SCM PPDS / GATP development that SKF treated as its competitive-differentiating core. First-site go-live covered 13 assembly lines and €250M annual production.

Monnet Ispat "Project Abhiyaan" — PM, Strategy & Transformation (2012 – 2013)

People-Process-Technology design for a new 1.5 MTPA integrated steel plant business. Led the Operations and Supply Chain teams across marketing strategy, org design, annual and short-term planning, quality, maintenance, logistics strategy, sourcing strategy, and procurement/inventory process design. Team of 15 IBM FTEs. Closed on projected GP without contingency; 100% payment realisation. Client citations from Deputy MD, Marketing Head, and Group HR Head.

SKF bearing manufacturer — ERP/SCM project scoping (2012)

Forecast-to-Fulfill process stream lead for Project Preparation. Scoped release-0 pilot including business process, functional, organisation, and RICEF scope; drove blueprint preparation and start-up.

IBM Metals & Mining Center of Excellence — Global SME (2009 – 2012)

Personally responsible for $200M+ in sales. A long tail of pre-sales, solutioning, and implementation-SME work:

Large Brazilian steel manufacturer — SAP-based rules engine for sales and production.
Project Snake — cloud GST strategy for a large Chinese steel company.
SKF Gothenburg — APO PoC showcasing planning and ATP fitment.
Saudi Arabia — joint Siemens (MES) + IBM (SAP) solution.
Singapore steel fabrication producer — warehouse management and transportation optimisation.
Kalinganagar steel manufacturer — KPI tree linking operational to financial metrics on the IBM Smarter Steel Plant framework.
Russian pipe manufacturer — S&OP PoC.
Wuhan steel manufacturer — APO architecture for on-time delivery with legacy systems.
Voestalpine (Linz) — Steel SME during implementation and subsequent blueprint workshop for planning integrated with a rules engine.
Indian pipe manufacturer (Delhi) — Steel SME for APO implementation.
South African copper mines — SAP proposal for mining-operations financial visibility.
Mine-to-Port optimisation PoC — rail scheduling, port operations, and ship-pier allocation for an Australian mining company.
Brazilian emerging mining group — CBM analysis and tech roadmap on IBM's "Mine in a Box" concept.
India's largest non-ferrous metals and mining company — corporate-dashboard KPIs across group companies.
Largest Russian steel manufacturer — product definition and cost-planning integration for profit maximisation.
Scoping workshops and proposals across India (Delhi, Haryana, Raipur, Raigarh, Indore, Mumbai), Japan, China (Wuhan), Singapore, Europe (Warwick, Valencia, Luxembourg, Stockholm, Linz, Helsinki, Duisburg, France, Moscow, Cherepovets), Brazil, and US (Atlanta, Pittsburgh, NYC, Chicago).

Asset development: Solution Architect for the IBM Global Steel Template (SAP ECC + SCM APO); designed and developed the IBM Global Mining Template; continuously extended both with SAP and partner solutions.

ArcelorMittal Flat Carbon Americas — S&OP process team lead (Jun 2009 – Nov 2009)

Aligned new technology-solution processes to increase customer satisfaction and employee efficiency. Positioned IBM's Global Steel Template as the best value proposition; ran Demand Planning and Supply Planning workshops to design S&OP; built a PoC of the future-state process enablement; contributed to the business benefit case for the SAP implementation roadmap.

Lucchini Steel — APO senior consultant (Sep 2008 – May 2009)

SAP SCM 5.1 / ECC 6.0 roadmap and implementation for the Rail business line: blueprinting workshops, AS-IS / TO-BE documentation, Demand Planning and S&OP configuration, user feedback, and gap rework.

Early SAP APO / SCM engagements (2006 – 2008)

IBM Innovation Studio (2016–2017): Analytics SME for IBM Watson design-thinking workshops, value-stream mapping pilots, and 10+ proofs of value. Helped establish the Analytics-as-a-Service offering adopted by IBM's Data and AI practice in ASEAN.
Predictive maintenance — PTT Thailand (2017): Industry & analytics SME for a compressor/turbine monitoring deployment on IBM Predictive Maintenance and Quality.
SKF "UNITE" ERP programme (2014–2016): Forecast-to-Fulfill process stream lead on a group-wide SAP roll-out. Delivered end-to-end planning and production execution for the first manufacturing unit (13 assembly lines, €250M annual production) including a custom MPS on SAP SCM PPDS.
Monnet Ispat "Project Abhiyaan" (2012–2013): PM / supply chain lead for a people-process-technology programme to stand up a new steel plant. Closed on projected GP with 100% realisation.
IBM Industry Center of Competence — Metals (2011–2012): Global Metals Segment Lead / SAP Solution Architect across 14+ global steel and metals accounts. Continuously enhanced the IBM Global Steel Template.
voestalpine (2010–2011): S&OP industry SME; delivered a high-level blueprint for integrated planning on SAP SCM-APO.
ArcelorMittal Flat Carbon Americas (2009–2010): S&OP process team lead; designed and delivered the S&OP process on SAP.
Lucchini Steel (2008–2009): APO senior consultant for blueprinting and configuration of Demand Planning and S&OP for the Rail business line.
Corus (Tata Steel UK) — Aug 2008 – Sep 2008: SCM process team member. Maturity profiling against steel-industry best practices; KPI identification and initiatives to reach maturity level 4.
IBM Global Steel Template — Jun 2008 – Aug 2008: APO (SNP & PPDS) team lead. Designed, blueprinted, configured, and tested SAP APO on mySAP SCM 5.1 + ECC 6.0; supported deployment at a large public-sector integrated steel manufacturer; ran demos with European, Japanese, Brazilian, and Australian steel companies; designed MES-to-SAP integration with PSI.
Jindal Steel (Raigarh) — Feb 2008 – Jun 2008: BPR, process modelling and simulation using WebSphere Business Modeler (trained a 25+ person client team); AS-IS models and quantitative TO-BE recommendations; plus an IT roadmap with 30 initiatives and a BTO diagnostic using IBM's Component Business Model framework.
Ispat Industries — Jun 2007 – Jan 2008: APO SNP team lead on a mySAP 5.0 implementation. DP, SNP Optimizer (contribution-per-hour on bottleneck resource), MTO/MTS, rolling-mill constraints, MRP, Deployment & TLB inbound logistics, CTM outbound, CIF integration; SCM KPI reporting in BW.
Apollo Tyres — Jan 2007 – Jun 2007: APO DP & SNP team member on a mySAP SCM 5.0 upgrade (incl. South Africa design), Deployment & TLB, SCOR-based KPIs in BW.
Apollo Tyres (initial) — Sep 2006 – Nov 2006: mySAP SCM 3.1 high-level solution; AS-IS study, upgrade proposal, SCOR KPI review, roadmap.
Medical electronics industry — Aug 2006 – Sep 2006: first assignment — APO 4.0 functional production support. DP & SNP in US; GATP with product allocation and rules-based ATP in Europe; BOP / CIF queue / process-chain monitoring.

IBM roles

Twenty years at IBM. Roles in order, most recent first.

Associate Partner — Sustainability & Analytics (2022 – 2025) · Singapore · Jan 2022 – present. P&L accountability for key accounts; advising clients on AI strategy and execution, digital transformation, and sustainability pathways.
Data Insights and AI Practice Leader · Singapore · Apr 2018 – Dec 2021. Led the Data & AI practice for industrial and distribution sectors. Delivered predictive models for sales demand, equipment failure, production yield and quality; conversational AI with NLP; visual-recognition safety applications; and production-grade AI across Industry 4.0, digital twins, data platforms, market intelligence, and predictive maintenance.
Advanced Analytics Industry Consultant · Singapore · Apr 2016 – Mar 2018. Joined the IBM Innovation Studio Singapore as Industry Analytics Lead. Grew the regional analytics business with design thinking and agile. Picked up Python, SPSS, and Watson hands-on.
Senior Managing Consultant, Industrial Products Global CoC · India · Jan 2015 – Apr 2016. Global IP Industry Segment Leader. Drove signings across 20+ countries from pre-sales through deploy. Published thought leadership and reusable assets; led delivery of strategic projects with multimillion-dollar outcomes.
Global Metals SME · India · Jun 2009 – Jan 2015. Global recognition as a Metals industry expert. PM / team lead / process lead / application lead on projects across India, Sweden, Germany, Austria, Italy, US, UAE, Russia, China, and more. Breadth across org design, business case development, marketing & supply-chain strategy, KPI benchmarking, IT/OT convergence, and full-lifecycle ERP-SCM.
Consultant · India · Jun 2006 – Jun 2009. Started with SAP SCM implementation. Delivered S&OP planning and BPR across tyre manufacturing (Apollo), integrated steel plants (Ispat — Alibagh, Raigarh, Bokaro), and mining. Built the APO planning optimiser for steel — discrete + process with inverted BOM and variant characteristics.

Before IBM

Software Engineer · Infosys · Dec 2003 – Apr 2004. First role out of engineering school; brief stint before joining IBM via IIT Kharagpur.

patents

Self-learning manufacturing using digital twins

US 2023/0022733 A1

Reinforcement-learning architecture for autonomous industrial optimisation via digital twins. Grew out of the Sembcorp engagement. USPTO.

Image storage across distributed computing systems

US 2022/0284118 A1

Hybrid-cloud architecture for distributed storage of sensitive images. Addresses the data-sovereignty vs. elasticity tradeoff.

writing

Peer-reviewed book chapters (Springer, IntechOpen) and long-form essays on Medium. Full list on Google Scholar.

Peer-reviewed chapters

Virtual Assistants and Ethical Implications

IntechOpen · 2021 · cited by 11

Introduces the ethical principles that should govern virtual assistants — transparency, justice and fairness, non-maleficence, responsibility, and privacy — with practical guidelines for designers and developers building VAs ahead of regulation. IntechOpen.

Advanced analytics for mine materials transportation — with A. Soofastaei

Springer · 2022 · cited by 3

In Advanced Analytics in Mining Engineering: Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions (ed. Soofastaei). Covers analytics approaches for optimising bulk materials movement in mining operations. Springer.

An Innovative Maintenance Scheduling Framework for Preventive, Predictive Maintenance Using Ant Colony Optimization

IntechOpen · 2022 · cited by 2

Uses ant-colony optimisation to reconcile preventive and predictive maintenance with production constraints — predictive maintenance delivers the most value when aligned to the production plan, not optimised in isolation. IntechOpen.

Advanced analytics for ethical considerations in mining industry — with A. Soofastaei

Springer · 2022 · cited by 2

Companion chapter in Advanced Analytics in Mining Engineering. Applies an ethics-by-design lens to the analytics and AI being deployed in mining — responsibility, safety, worker and community impacts. book preview.

Industry thought leadership (IBM / Metals CoC era, 2011 – 2016)

Industry-facing white papers, articles, C-suite contributions, and blog posts from the Metals & Industrial Products Global CoC years — pre-dating the shift to peer-reviewed academic work. Most of the original hosting URLs have been retired as publishers consolidated; titles and venues preserved here.

Transform your manufacturing organization in four steps — IoTone.com article · 2016
A new look into the world of SAP Integrated Business Planning — SCM Expert · 2016
The Customer Focus and Operational Excellence "Tug-of-War" — Insights on Business by IBM · Sep 2014
New frontiers on managing risk for metal companies — Insights on Business by IBM · Aug 2014
Perfect availability — the hidden mantra to success — Insights on Business by IBM · Jul 2014
Ten Reasons Why Metal Supply Chain is Different from Others — APICS Magazine · Jul/Aug 2013
Leading through Connections — IBM Global CEO Study · Industrial Products PoV · 2012
From Stretched to Strengthened — IBM Global CMO Study · Industrial Products PoV · 2012
Best Practices for Implementing SAP APO SNP Optimizers — SCM Expert · 2012
Steel Supply Chain Transformation Challenges — Key Learnings — IBM Whitepaper · 2012
Best Practices for Evaluating SAP APO Optimizers — Learning From Case Studies — SCM Expert · 2011
Integrated Operations for Metals Industry and Supply Chains of Steel — IBM industry publications

Invited talks, panels & conferences

20+ industry conference presentations and panels across US, Europe, India, and Singapore.

Ethics in AI for Mining Industry — GMG Group Virtual Forum Series on AI · 2021
Big Data & Analytics — People Association Singapore, Meetup · 2017
Knowledge Data Visualization — IDEAS session, Singapore Computer Society · 2017
Design Mobile Apps for Consumer Utility Feedback — SMMU CFP Task 2, Energy Market Authority Singapore · 2017
Building Human Capacity through Workforce Development — Government of Rajasthan IT Day · 2017
Accelerating Digital Innovation in Trade & Supply Chain Finance — Fintech Hackathon (facilitator) · 2016
IBM Smarter Metals & Mining Frameworks — SAP Metals & Mining Forum, Darmstadt · 2014
Global Mining Template based on SAP — IBM Mining Industry Conference, Bhubaneswar · 2012
Planning for the Smarter Steel Enterprise — AITISM '12, RDCIS–SAIL, Ranchi · 2012
Apply the Depth of IBM's Metal Industry Expertise — SAP TechEd, Bangalore · 2011
TCO Reduction in Solid Fuel Procurement via IBM Smarter Solutions — 2nd Procurement in Steel Industry Conference, mjunction · 2011
Supply Chain Innovation — IBM US Metals Roundtable, Pittsburgh (8 US metal CIOs/clients) · 2011
The Role of IT in Green Manufacturing — 1st Green Manufacturing Summit, CII · 2011
Computerization of Business Functions through ERP & MES — AITISM '09, RDCIS–SAIL, Ranchi · 2009

Long-form essays on Medium

How can AI support the journey towards sustainability?

Medium · 2021

Mapping where AI meaningfully moves the needle on sustainability — measurement, optimisation, and decision support across industrial operations — versus where it is mostly narrative. Read.

Sustainability Strategy — Green, Smart & Living Buildings

Medium · 2021

First in a sustainability-strategy series. The built-environment angle: what it takes to make buildings green, smart, and living in a way that's economically and operationally durable. Read.

Developing the Business Case for an AI solution

Medium · 2021

Sizing and justifying AI investments in an enterprise context — the hypothesis, the benefit tree, and the sensitivity analysis matter more than model accuracy. Companion piece to the Vale vessel-chartering engagement. Read.

Shifting from a Project-centric to a Product-centric mindset for AI-driven innovation

Medium · 2020

Why AI programmes that stay project-shaped hit a ceiling, and what changes when teams treat the AI asset as a product with a roadmap, an owner, and a durable user base. Drawn from the pre-trade analytics engagement at BP. Read.

More essays at abhishekkauls.medium.com. Full publications list with citation counts on Google Scholar.

talks & community

SGLN Tech Leader (inaugural cohort, 2026) — Singapore Leaders Network's technology-industry cohort, managed by the Human Capital Leadership Institute (HCLI) and supported by the Singapore EDB and IMDA. Programme.
ExCo member — Business Analytics Chapter, Singapore Computer Society.
Founding member — IMPACT by LEAD Think Tank, a Stanford LEAD alumni initiative.
IMAGINE Leader (since Apr 2025) — global leadership community for impact; disruptive innovators, corporate executives, investors, and civil society leaders working to accelerate systems change.
GMG Group Virtual Forum Series on AI (2021) — invited talk on Ethics in AI for Mining Industry.

education

Doctor of Business Administration (DBA) — Golden Gate University

2024 — 2027

Research focus: Generative AI Adoption in Technology Consulting Firms — how GenAI reshapes enterprise consulting delivery, client engagement models, and AI-led solution development.

Professional Certificate Program in Sustainability — MIT Professional Education

2023 — 2024

Stanford LEAD — Corporate Innovation Certificate — Stanford Graduate School of Business

2017 — 2018

MBA, Supply Chain & Operations — Indian Institute of Technology, Kharagpur

2004 — 2006

BE, Electronics & Telecommunication Engineering — Modern Education Society's College of Engineering, Pune

1999 — 2003

certifications & credentials

Verified digital credentials on Credly (IBM, SAP, Microsoft) and Accredible (MIT Professional Education, Stanford LEAD). Selected highlights grouped by theme below; full wallets linked.

Featured

Professional Certificate Program in Sustainability

MIT Professional Education · Aug 2024

Stanford LEAD — Corporate Innovation

Stanford Graduate School of Business · 2018

Industry Diamond — Energy & Resources

IBM · valid through Apr 2029

IBM Generative AI Sales

IBM · valid through Dec 2026

Certified SIRI & COSIRI Assessor

INCIT · 2022 · Industry 4.0 readiness

BTS Knowledge Leader — Data & Technology Transformation

IBM · Mar 2025

AI & GenAI

IBM Generative AI Sales — IBM · 2024
watsonx.ai Technical Sales Intermediate — IBM · 2024
2025 IBMer watsonx Challenge — IBM · Aug 2025
Achieve New Heights with Microsoft Gen AI, Copilot Mega… — Microsoft · Aug 2024
Enterprise Design Thinking — Team Essentials for AI — IBM · 2020
Technology Knowledge 2024 — AI4S4 Hands-on Workshop — SAP · 2023
Cloud & Cognitive Patterns — IBM · 2017

Data science, data engineering & cloud

Applied Data Science with Python — Level 2 · IBM · 2019
Python for Data Science — IBM · 2019
Data Analysis Using Python — IBM · 2020
Data Visualization Using Python — IBM · 2020
Big Data Foundations — Levels 1 & 2 · IBM · 2020
Hadoop Foundations — Level 1 · IBM · 2020
Spark — Level 1 · IBM · 2020
Docker Essentials: A Developer Introduction — IBM · 2020
IBM Automation: Compass — IBM · 2020

Sustainability, ESG & green IT

Professional Certificate Program in Sustainability — MIT Professional Education · Aug 2024
Sustainability: Strategies and Opportunities for Industry — MIT Professional Education · 2024
Life Cycle Assessment: Quantifying Environmental Impacts — MIT Professional Education · 2024
Circular Economy: Transition for Future-Ready Industries — MIT Professional Education · 2024
Sustainable Infrastructure Systems — MIT Professional Education · 2024
Clean Energy Transition Foundations — IBM · 2024
Green IT and Responsible Computing Foundations — IBM · 2024

Industry domain

Industry Diamond — Energy & Resources · IBM · valid through 2029
Industry Diamond — Industrial Manufacturing · IBM (previously certified)
Industrial Products Insights and Solutions — Platinum · IBM · 2020
Industrial Products Insights and Solutions — Gold · IBM · 2016
IBM Industry Academy Member · IBM · 2021
Certified SIRI & COSIRI Assessor · INCIT · 2022

Delivery, method & innovation

Stanford LEAD — Corporate Innovation · Stanford GSB · 2018
BTS Knowledge Leader — Data & Technology Transformation · IBM · 2025
Business Transformation Services Knowledge Leader · IBM · 2023
IBM Garage Essentials & Foundation · IBM · 2023
Enterprise Design Thinking Practitioner · IBM · 2016
Digital Insights — Knowledge Delivery · IBM · 2019
Persuasive Communication: Critical Thinking to Enhance your Message · MIT Professional Education · 2024

Patent badges

First Patent File — IBM · 2021
Plateau (patent plateau recognition) — IBM · 2021

Additional certifications

CPIM (Certified in Production & Inventory Management) — APICS · 2008
Salesforce Certified AI Associate — Salesforce
Sustainable Business Strategy
Client Advisor Masterclass — IBM
Business Analytics Chapter — Co-opted Member · Singapore Computer Society · 2024

Languages

English — fluent / native
Hindi — fluent / native
German — basic

Full verified wallets: Credly (30+ badges) · Accredible (13 credentials).

topical index

A rough map of what I've actually done hands-on, organised by topic rather than chronology.

AI, GenAI & advanced analytics

AI-driven knowledge management and engineering document intelligence (RAG, ontologies, NLP) — Keppel
Digital twins for energy, chemical, and industrial assets (RL, real-time monitoring) — Sembcorp, Denka
Commodity-trading analytics: pre-trade, vessel tracking, AIS data — BP, Vale
Predictive maintenance and IoT analytics (sensor data, Weibull, GBDT) — PTT, United Tractors
Cloud data-platform architecture on AWS / Azure / IBM Cloud for reporting, forecasting, self-service — Delfi, AEPW, PCL
Conversational AI and GenAI assistants (Watson, LLM-based) — Electrolux, Yeo's, Far East
Requirements engineering and stakeholder translation for AI/ML — LLM, prompt engineering, model validation, data pipeline design

Sustainability & ESG

ESG data platforms, plastic-waste analytics, sustainability-driven operational insights — Alliance to End Plastic Waste

ERP-led business transformation

Business process reengineering for supply chain and ERP transformation
SAP S/4 HANA greenfield implementations — Yeo's
SAP ECC → S/4 upgrades, DRC, BTP, Group Reporting — Far East Organization
SAP SCM for supply chain optimisation — SKF, ArcelorMittal, voestalpine, Lucchini, Ispat, Apollo Tyres

contact

Best reached by email: [email protected]. I'm based in Singapore (UTC+8). LinkedIn also works. I answer most messages, though sometimes slowly. If you're reaching out about advisory or speaking, please say so in the subject line.