Career archive

Resume / Corporate Journey

I’ve spent close to two decades working at the intersection of data, models, products, and business decision-making. My career has moved from analytics and machine learning into data science leadership, AI product development, and practical GenAI systems.

Across financial services, CPG, pharma, manufacturing, and enterprise software, my work has focused on turning complex business problems into usable systems — combining technical depth with product thinking, team leadership, and human judgment.

In recent years, I’ve focused on Retrieval Augmented Generation, agentic workflows, enterprise knowledge systems, and AI-native ways of working, while leading enterprise data science, GenAI consulting, and AI product teams.

At a Glance

A few concise signals that frame the rest of the page.

Close to two decades across analytics, machine learning, data science, and AI

Experience across BFSI, CPG, pharma, manufacturing, and enterprise software

Led enterprise data science, GenAI consulting, and AI product teams

Built AI products, RAG systems, multi-LLM workflows, and applied AI platforms

Author of A Simple Guide to Retrieval Augmented Generation

Public work across book, essays, sessions, and code

Work Experience

A chronological view of the roles and transitions that shaped my work in analytics, product, and AI.

Sigmoid

Bengaluru, India

May 2025 - Present

Director of Data Science

I lead enterprise AI and data science engagements across pharma, CPG, and manufacturing, with a focus on applying Generative AI and agentic AI to real business workflows.

Leading enterprise GenAI and agentic AI engagements for Fortune 500 clients.
Developing applied AI solutions such as agentic NRM/RGM analysts, review analytics engines, and field force assistants.
Building internal knowledge enhancement systems to source real problems, design test cases, evaluate technologies, and propagate reusable solutions.
Evangelizing agentic frameworks, multi-agent workflows, and AI operating patterns across teams.

Yarnit

Bengaluru, India

Feb 2022 - May 2025

Co-founder & VP of Artificial Intelligence

At Yarnit, I built the AI vision and roadmap for a Generative AI-powered B2B content marketing platform used by enterprise teams.

Defined and led the AI roadmap for Yarnit.app, a GenAI content marketing SaaS platform serving 35+ enterprise clients.
Designed and deployed RAG-based systems for enterprise content workflows.
Scaled a multi-LLM architecture using GPT, Claude, and diffusion models across ideation, content generation, auditing, and publishing workflows.
Developed agentic AI capabilities for autonomous content strategy and workflow assistance.
Led and mentored cross-functional teams of data scientists and engineers to convert AI research into production SaaS features.

LTI / Lymbyc

Bengaluru, India

Jan 2016 - Jan 2022

Associate Principal, Lumin Data Science / Director, Data Science Product & Consulting

This phase of my career brought together consulting leadership, analytics product development, and enterprise AI solution delivery.

Led a $2M analytics and data science consulting portfolio for enterprise clients and startups.
Built and managed 35-member product and consulting teams with repeatable Agile delivery practices.
Delivered analytics and AI solutions across retail banking, CPG, technology, and pharma.
Led work across marketing analytics, pricing insights, NLG-based narrative engines, anomaly detection, forecasting, and deep-dive diagnostics.
Drove product innovation for Lumin, translating analytics workflows into productized AI capabilities.

Genpact

BFSI - EMEA

May 2012 - Sep 2014

Analytics Engagement Manager

At Genpact, I worked on credit risk analytics, reporting, and scorecard development for European financial services portfolios.

Led analysts working across credit risk reporting and scorecard development for UK, Benelux, and Austria portfolios.
Managed analytics delivery for a €250,000+ annual engagement.
Developed risk scorecards and segmentation-based strategies for a combined lending portfolio of about €1.2B.

HSBC

India

Jan 2009 - Mar 2011

Marketing Analyst, Private Label Credit Cards

At HSBC, I worked on segmentation, campaign analytics, and portfolio strategy for private label credit card programs.

Created a profit-based segmentation framework for a $2.1B private label credit card portfolio.
Supported campaigns that delivered $2M incremental profit before tax over control.
Built loyalty-based segmentation frameworks that helped generate more than $800K in incremental revenue over control.
Helped replicate analytical frameworks across retail partners.

Modelytics India

India

Jun 2007 - Jan 2009

Business Analyst, Mortgages & Credit Cards

I started my career in applied analytics, building models for mortgages, credit cards, fraud detection, and pricing decisioning.

Developed loan refinancing and cross-sell models for a large US mortgage lender.
Built a classification-based fraud scorecard for a tax refund anticipation loan portfolio.
Worked on the end-to-end development of a credit card pricing decision engine.

Selected Work

A curated view of my public writing, teaching, and technical work.

Book

A Simple Guide to Retrieval Augmented Generation

A practical guide to designing and building Retrieval Augmented Generation systems. The book covers core ideas, architectures, and implementation patterns behind RAG, from retrieval and chunking to evaluation, operations, and production workflows.

Open