Machine Learning Engineer building production ML/AI systems — document intelligence, OCR pipelines, and LLM/agent infrastructure.

Currently @ Tata Consultancy Services (TCS), Bangalore — building end-to-end document extraction pipelines processing millions of images in production.

• 🔭 Building production OCR/document-classification systems at TCS (BERT, CNN/RCNN, transformer-based recognition)
• ⚡ Scaled pipeline throughput from 15K → 32K images/hour and cut PDF generation time from 40s → 15s in production
• 🧠 Deep interest in agentic systems: LangGraph, RAG pipelines, MCP integrations, multi-agent orchestration
• 🛠️ Building personal projects around Voice AI, RAG, and workflow automation on the side
• 📫 Reach me: LinkedIn · Email · X/Twitter

• Languages: Python, SQL
• ML/DL: BERT, CNN, RCNN, LSTM, Temporal Fusion Transformer, Time-Series Modeling
• GenAI/Agents: RAG, LLM Evaluation, Model Context Protocol (MCP), LangGraph
• Backend: FastAPI, Flask, REST APIs, Docker
• Infra: Ubuntu VPS, Supabase, Self-hosted Automation Stacks
• Tools: Git, GitHub, PyTorch, scikit-learn, Pandas, NumPy