I started out modeling economic systems and financial crises. Today, I design and operate AI and ML systems used in production environments.
My work focuses on taking models from research to reality — building scalable, reliable ML and GenAI platforms that teams can actually depend on.
- AI / ML Engineering – Designing, deploying, and operating machine learning systems at scale
- MLOps & Infrastructure – Production pipelines, observability, reliability, and cost-aware scaling
- NLP & GenAI – Text analytics, LLM-based systems, and applied language models
Python · R · AWS · Docker · Kubernetes · LangChain · Elasticsearch
- Ph.D. in Economics (Lancaster University)
- Early work focused on housing markets and macroeconomic modeling
- Current focus is on applying ML and GenAI to real-world, production problems