Professional Overview
With 5+ years of experience in AI/ML, I specialize in building production-grade solutions using Python, PyTorch, YOLO, and LLM tools like LangChain and LangGraph. I’ve led real-time systems like baggage counting (80+ cameras), violation detection via camera (no radar), and RAG-based chat agents for instant business insights. I combine deep technical expertise with leadership and product thinking, making me a strong fit for AI-driven teams focused on impact, scale, and innovation.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
