Headline

AI & ML Engineering Leader | Agentic AI • GenAI • LLMs • RAG | 0→1 AI Systems | Staff Data Scientist @ Walmart | Ex-Oracle, Ex-JPMorgan

About

I’m an AI & ML Engineering Leader with a decade of experience building and scaling Agentic AI, Generative AI, and enterprise-grade ML platforms. I specialise in delivering 0→1 AI systems, shaping cross-functional strategy, and guiding engineering, product, and business teams toward AI-first transformation.I operate at the intersection of deep hands-on engineering and executive-level strategy, influencing VP roadmaps and elevating AI maturity across large organisations.What I Do • Build 0→1 Agentic AI systems that automate complex enterprise workflows (e.g., Merchandising Assistant improving merchandising outcomes; Marcus NL2SQL reducing insight turnaround from weeks to seconds). • Drive cross-org AI strategy, shaping long-term product and engineering direction. • Lead multi-team execution, setting technical vision, removing blockers, and enabling high-velocity delivery. • Architect production-grade GenAI/RAG platforms with strong reliability, retrieval design, evaluation, and MLOps foundations. • Mentor teams in LLM engineering, scalable ML, and agentic design patterns.Technical Leadership • Designed multiple high-impact Agentic AI solutions across retail, finance, and cloud ecosystems. • Built enterprise-grade RAG, vector search, and multimodal LLM applications (OpenAI, Llama 3, Cohere). • Delivered systems that improved business metrics across anomaly detection, fraud, credit risk, and merchandising.I’m passionate about building the next generation of Agentic AI ecosystems and helping enterprises transition toward scalable, AI-driven decision-making.

Location

Bengaluru

AI stack

anthropic apis

github copilot

langchain

langgraph

openai

Cohere

Work experience

Staff Data Scientist at Walmart, Jan 2025 - Present · 1 yr 8 mos, Bengaluru, • Driving the end-to-end strategy and development of Walmart’s next-generation Agentic + GenAI platform for e-commerce payments, shaping the technical vision, platform architecture, and long-term AI roadmap for intelligent transaction analysis and automated decisioning at scale. • Conceived and led the 0→1 creation of Merchandising Assistant, an Agentic AI system that reimagines APL coverage and merchandising workflows, delivering multi-million-dollar business impact through automation, improved accuracy, and accelerated decision velocity. • Established the foundational RAG, LLM orchestration, and multi-agent platform architecture powering real-time financial and merchandising intelligence across multiple business units. • Influenced Director/VP-level product and engineering strategy, aligning cross-functional teams around a unified AI platform vision and driving organisational adoption of Agentic AI patterns. • Elevated organisational AI maturity by defining best practices in LLM engineering, evaluation, and scalable ML, while mentoring teams to build high-reliability enterprise AI systems.

AI solutions architect (lead data scientist) at Oracle, Jun 2021 - Jan 2025 · 3 yrs 8 mos, Bangalore Urban, Karnataka, India, Created and implemented ML solutions using LLM, generative AI and NLP - Implemented end to end Sales assistant chantbot using generative AI, RAG, langhchain, lang graph and vecor database. - Implemented Log assistant Chatbot using GenAI, RAG, Prompt Engineering and Opensearch - Implemented Portfolio Recommendation using GenAI, Prompt Engineering and LLM - Implemented Text to Sql generation using GenAI , RAG and LLama2, PEFT - Fine-tuned LLM on GPU to improve LLM performance using PEFT and LORA - Document Summarization using genAI and LLM - Renewable energy power prediction using ML, spark-ml, gradient boosted trees and MLOps - Credit card fraud detection using gradient boosted trees

Senior Data Scientist (Associate Vice President) at JPMorgan Chase & Co., Jan 2019 - May 2021 · 2 yrs 5 mos, Bengaluru, Karnataka, India, Strong hands-on experience in building ML models for finance domain. Build and deployed Fraud detection model using XGBoost and NLP for finance usecase under JPmorgan flagship ML program. Build and deployed ML model for credit risk assessment . received Innovation award

Machine Learning Engineer at IMS Health, Aug 2016 - Jan 2019 · 2 yrs 6 mos, Bengaluru, Karnataka, India, Strong machine learning experience along with big data consultation. Extensive experience in data science, spark, python, scikit-learn, spark streaming, kafka,hive, hadoop and other big data technologies. passoinate about big data anlytics and machine learning with analytic bend of mind.

Associate at Philips, Jul 2014 - Jul 2016 · 2 yrs 1 mo, Bengaluru Area, India, Big data, Hadoop Analytics using Hive. Scala, Apache Spark, Spark Streaming, Spark Sql, kafka. well experienced in designing and developing Big Data Analytics platform using Spark. Also have successfully implemented lambda architucture using apache spark. Have worked on cloudera and hortornworks platform.

Software Engineer at HCL Technologies, Aug 2010 - Jun 2014 · 3 y 10 mo, Bangalore

Education

Executive Certificate, Generative AI, Indian Institute of Technology, Kharagpur

Master of Science - MS, Artificial Intelligence, Liverpool John Moores University