Professional Overview
As a Lead Machine Learning and AI Specialist with 17+ years of experience, I specialize in applied AI research, machine learning, LLM-powered systems, and software engineering, with a proven track record of delivering impactful, data-driven solutions across cloud security and enterprise platforms. My expertise spans machine learning, large language models (LLMs), statistical modeling, system architecture, and production engineering, enabling me to translate complex technical challenges into scalable, reliable, and business-impactful AI solutions. I bring deep expertise in Agentic AI, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and ML, with a strong focus on agent evaluation, model reliability, secure and responsible AI, and AI-driven cybersecurity. My work encompasses evaluating agentic AI systems and multi-step execution trajectories, assessing reasoning quality and behavioral consistency, identifying model failure modes, and improving the reliability and safety of LLM-powered applications.
Experience
Employment Type
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.
