6+ years turning complex data into business impact — at TCS, Tata Steel, and HDFC. Now building autonomous AI agents, LLM pipelines, and GenAI systems at IIT Roorkee i-Hub. My edge: deep domain expertise in procurement & finance combined with cutting-edge AI engineering.
My journey is unconventional — and that's the point. I started as a Data Analyst at TCS, spent years deep in SAP systems and supply chain optimization, then moved to Tata Steel as a Procurement Manager where I led AI-driven cost reduction initiatives and built IoT monitoring systems.
At HDFC Life, I pivoted into financial analytics, building ML-powered forecasting models that improved accuracy by 25%. Today, I'm channeling all of that domain expertise into Agentic AI development at IIT Roorkee i-Hub — building autonomous agents that actually understand the business context they operate in.
Most AI engineers lack deep business knowledge. I bring both. That's my unfair advantage — and why I build AI systems that are technically robust and commercially impactful.
Real systems built to solve real business problems — not just experiments.
Building autonomous AI agents using LLM frameworks for business process automation. Implementing agentic pipelines with tool use, persistent memory, and multi-step reasoning for procurement and finance use cases.
Designed system-driven trading strategies using AI indicators (EMA, VWAP, RSI, MACD, Greeks). Built predictive models for intraday and options trading with measurable accuracy improvements.
Applied ML techniques to automate procurement decisions, vendor scoring, and supply chain forecasting. Integrated IoT data with analytics platforms for real-time operational monitoring at Tata Steel.
Open to Remote AI Engineer · Agentic AI Developer · Data Scientist · ML Engineer roles globally.
Let's connect and explore how I can bring value to your team.
📍 Cooch Behar, West Bengal, India · Remote-Ready Globally