Professional Overview
AI Engineer with hands-on experience building LLM-powered agents and RAG pipelines using LangChain and vector databases. I evaluate multi-turn agent trajectories and tool-call protocol compliance for production systems, and have curated 200+ SFT training trajectories. Skilled in Python, prompt engineering, and frontier model APIs (Claude, Ollama).
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
