I build production-grade Gen AI systems — RAG pipelines, autonomous agents, and intelligent automation that turn messy business problems into measurable outcomes.
I'm a Machine Learning Engineer with 3+ years building AI systems that ship. Currently a Gen AI Engineer at Saint-Gobain, where I design RAG-based automation, document-intelligence chatbots, and agentic database assistants backed by MCP servers.
Before that, I spent three years at Quantiphi Analytics Solutions building forecasting models, NLP document pipelines, and real-time analytics dashboards. I hold a B.Tech in Computer Science (CGPA 9.01/10) from Nutan College of Engineering and Research, Pune. I care about the boring-but-critical parts: retrieval quality, latency, evaluation, and turning research into reliable software.
Agentic RAG pipeline with LangChain, ADK & Qdrant indexing 50K+ docs at 92% retrieval recall. Optimized OCR → parsing → vectorization to under 2s/doc, lifting throughput 40%.
Forecasting engine with ARIMA, SARIMA, Prophet, XGBoost & LightGBM. Large-scale PySpark processing on Azure Databricks with a 31% accuracy gain and 12% lower holding costs.
Download my complete résumé — experience, education, and the full technical stack in one PDF.
Open to Gen AI / ML engineering roles and interesting collaborations. Reach out on LinkedIn and X or take a look at my code on GitHub.