Headline

Lead Data Scientist | Generative AI | LLMs | Recommendation Systems | Search Ranking | Predictive AI | MLOps | Building Production AI

About

I'm a Lead Machine Learning Engineer with 6+ years of experience building and deploying production-grade AI systems across FinTech, Retail, and Consumer Technology. My work focuses on solving real business problems through Machine Learning, Recommendation Systems, Search Ranking, Predictive Analytics, and Generative AI. Over the years, I've designed and deployed AI solutions that support millions of customer interactions and tens of thousands of businesses. Some of the problems I've worked on include customer churn prediction, propensity modeling, fraud detection, anomaly detection, recommendation systems, learning-to-rank, uplift modeling, and AI-powered customer support automation. A few highlights from my recent work: • Built a Merchant Churn Prediction platform for 77K+ merchants, improving Month-1 retention from ~80% to ~86% through proactive interventions. • Developed Phone Buy Propensity models covering ~1.6 million customers to enable targeted marketing campaigns. • Designed a Learning-to-Rank search engine using XGBRanker, improving NDCG@12 from ~0.79 to ~0.85. • Built and deployed 16 production ML models for customer activation and reactivation. • Developed a GenAI-powered KYC intelligence solution using Gemini 2.5 Flash and AI4Bharat to automate analysis of 500+ customer transcripts daily. • Designed fraud and anomaly detection systems using ensemble approaches including Isolation Forest, DBSCAN, and Local Outlier Factor (LOF). My technical expertise includes: 🔹 Machine Learning & Deep Learning Python • SQL • PySpark • Scikit-learn • XGBoost • TensorFlow • PyTorch 🔹 Generative AI LLMs • Gemini • OpenAI • Claude • LangChain • LangGraph • Prompt Engineering • RAG • AI Agents • Fine-tuning 🔹 Cloud & MLOps AWS SageMaker • Redshift • Glue • Athena • Databricks • MLflow • FastAPI • CI/CD Beyond building models, I enjoy working across the complete AI lifecycle—from understanding business problems and engineering features to deploying scalable production systems and monitoring their performance. I also lead and mentor ML engineers, collaborate with Product, Engineering, Sales, and Marketing teams, and focus on building solutions that create measurable business value. I'm particularly interested in building Applied AI products, Recommendation Systems, Generative AI applications, Search & Ranking systems, and Production ML platforms that scale reliably and solve meaningful customer problems. Always happy to connect with people working on AI, Machine Learning, MLOps, and Generative AI.

Location

Mumbai

AI stack

antigravity

claude code

cursor

gemini

github copilot

opencode

Work experience

Lead ML Engineer at Benow, May 2026 - Present · 4 mos, Mumbai

Senior Data Scientist at Angel One, Aug 2024 - Apr 2026 · 1 yr 9 mos, Bengaluru

Data Scientist at Aditya Birla Finance Limited, Dec 2023 - Mar 2024 · 4 mos, Mumbai, Maharashtra, India

Data Scientist at Deloitte, Feb 2023 - Feb 2023 · 1 mo, Remote

Data Scientist at Zeno Health (Formerly Generico), May 2021 - Dec 2023 · 2 yrs 8 mos, Mumbai, Maharashtra, India

Education

Post Graduation Diploma, Machine Learning and Artificial Intelligence, International Institute of Information Technology Bangalore

Master of Technology - MTech, Mechanical Design, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur