GenAI Engineer · Technical Lead · Data Scientist
10 years of building machine learning, GenAI, and data engineering solutions. I take projects from problem definition to production—with hands-on technical depth and end-to-end ownership.
Technical depth. End-to-end ownership
I manage end-to-end data science and engineering projects: problem framing, data pipelines, model development, deployment, and optimization. I’ve led a team of 4 and collaborated with Research, Client, and internal technology teams to develop products.
reduction in manual effort through intelligent automation
AWS infrastructure cost optimization through process redesign
team members led in analytics product development
Selected work
Hands-on work across GenAI, machine learning, NLP, and data engineering.
Built a RAG-based entity extraction system for financial PDFs, combining LLMs and retrieval to turn unstructured document content into structured entities. Achieved 80% extraction accuracy.
Designed and deployed ML models for multi-region suspicious transaction prioritization. Partnered with Compliance on AML modeling and delivered 43 scenario tunings, including PL/SQL-to-HiveQL migration.
Engineered an NLP and deep learning framework using LSTM and BERT for automated support ticket analysis, securing a $200K client deal.
Managed end-to-end ETL pipelines across 46 data sources: PDFs, web content, Excel files, SFTP feeds, and APIs. Owned ingestion and SLA-driven daily refreshes, coordinating with stakeholders to support analytics product development.
The journey
10 years of technical delivery and cross-functional product development.
Senior Data Scientist - Senior Team Lead
S&P Global Energy · Gurugram
Leading a team of 4 and managing end-to-end data science and engineering projects. Owning ETL pipelines for 46 data sources across PDF, web, Excel, SFTP, and API inputs; developing financial PDF entity extraction with RAG; and collaborating across Compliance, Research, Client, and internal technology teams. Built a natural-language query agent proof of concept using LLMs, Spark, and AWS.
Associate Manager - FCC Data Science
Standard Chartered GBS · Bangalore
Built multi-region ML systems for suspicious transaction prioritization and delivered 43 AML scenario tunings.
Data Scientist
IBM India Pvt. Ltd. · Bangalore
Shipped NLP, deep learning, forecasting, and computer vision solutions across telecom, pharma, utilities, and shipping.
The toolkit
LLMs · RAG · Prompt engineering · AI agents · LangChain · NLP
Machine learning · Deep learning · Statistical modeling · PyTorch · Python · R
ETL · PySpark · SQL · AWS · Docker · CI/CD · REST APIs · Azure DevOps
The foundation
M.Sc. Statistics
2014–2016
B.Sc. Statistics & Mathematics
2011–2014
Beyond the work
GenAI / Technical perspective
My perspective on the full fine-tuning lifecycle: data quality, evaluation, deployment, and monitoring matter just as much as the training method.
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Community / Learning
Sharing the Agentic AI Conference and the ideas I wanted to explore: planning, memory, retrieval systems, observability, and trustworthy agents.
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Career / Recognition
A moment of recognition from my IBM years, celebrating the work and the people who helped me grow.
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Career / IBM
Looking back on my IBM chapter: the learning, friendships, and support that shaped my transition from student to professional.
Read on LinkedInHave a problem worth solving?