Professional Overview
I build tiny autistic AIs (small context window to use tokens efficiently) that can edit themselves. I use nanoGPT, PyTorch, sandboxed self-improvement loops, RAG on 250k+ papers, and training data that teaches models what NOT to do. I like small, stable, interpretable models that do one thing well. Open to weird, hard, experimental projects.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
