Professional Overview
Senior AI/ML engineer with 10+ years of experience building and shipping production LLM, RAG, and agentic systems. Expertise in NLP, ML systems, prompt engineering, evaluation frameworks, and multi-model orchestration (GPT, Claude, Gemini). Proven impact in scaling AI products, improving quality, and reducing costs across AWS, GCP, and Azure.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
