Professional Overview
Applied AI Engineer who makes LLM agents do economically valuable (and viable) tasks. Following LLM developments since GPT-2 (2019). I specialize in agentic behavioral evals, human validation pipelines, and multi-LLM-as-judge systems. Former Technical PM who scaled a platform to 100k users and led cross-functional agile teams.I write production code with AI tools (Claude Code, Cursor): the LangGraph academic writing & research assistant and RAG+web search microservices I built serve 50k MAU and 100k daily requests.
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
