Professional Overview
Senior GenAI Engineer specializing in Agentic AI and LLM systems. I design and deploy production-grade multi-agent architectures, RAG pipelines, and enterprise AI integrations using Python and LangChain. Delivered 67% latency reduction, 99.9% SLA, and 40% cost savings on a live BFSI engagement. 5-6 yrs experience, 3.5+ in GenAI.
Education
Field of Study: Data Science & Machine Learning
Field of Study: ECE (with coursework in Computer Science,Statistics, NLP, and Applied Maths)
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
