Professional Overview
AI Engineer building and deploying production GenAI and Agentic AI systems. I work with LLMs, RAG, LangGraph, LangChain and model fine-tuning, with hands-on experience in FastAPI, vLLM and cloud deployment. I enjoy taking AI projects from design to production and improving their performance, reliability and cost.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built production contract extraction pipeline using LLMs, OCR, validation
- Architected multi-agent IAM platform: LangGraph, MCP, Keycloak, FastAPI
- Built LangGraph hospitality chatbot with 5-agent workflows, LoRA/QLoRA
- Developed autonomous AIOps agents for incident triage, remediation
- Benchmarked LLM inference across Intel Xeon 6, Gaudi 3, NVIDIA H100
Key Achievements / KPIs
- Processed 475,200 requests/month in production
- Achieved 97.5% extraction accuracy, 96% cost reduction
- Achieved 100% task completion, tool invocation for AIOps
- Sole technical delegate, India AI Summit 2025 (Infosys)
Education
Field of Study: Computer science and engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
