AI Lab
Exploring the future of intelligent systems
The areas I work in, experiment with, and am still learning — labeled honestly. Some of this is shipped in production. Some of it is a weekend project. Some of it I am only reading about, and it says so.
Used in shipped professional or client work.
Built with it in self-directed projects.
Actively learning. Not yet shipped.
Applied in production work
Shipped in production work
Used in shipped professional or client work.
Agent Optimization
appliedMaking multi-agent systems reliable enough to trust: how work gets delegated, what each agent remembers, and how you tell whether a change actually helped.
RAG & Knowledge Systems
appliedRetrieval past the naive baseline - where chunk similarity stops being enough and the structure of the data has to be modeled directly.
AI Security & Guardrails
appliedWhat happens when someone tries to talk your agent out of its instructions - and what stands between a model and the data it should never repeat.
Where it shows up
LLM Evaluation
appliedTurning “the output looks better” into a number you can regress against. Judge harnesses, labeled datasets, and shadow evaluation off the serving path.
Graph & Query Systems
appliedWhen relationships are the answer, not the metadata. Modeling domains as graphs and letting people ask in plain language.
Core ML, NLP & Vision
appliedThe foundation underneath the LLM work - the classical modeling that still decides whether a pipeline is any good.
Hands-on
Built in self-directed projects
Built with it in self-directed projects.
LLM Training & Fine-Tuning
hands-onFine-tuning smaller models for the jobs that do not need a frontier model - classification, routing, and structured extraction.
Where it shows up
AI Infrastructure & Cost
hands-onThe part nobody demos: what a system costs per query, where the latency goes, and how to route around both.
Exploring
Actively learning
Actively learning. Not yet shipped.
Multimodal & Generative AI
exploringSystems that take in more than text. Currently a reading and prototyping area rather than shipped work.
Working on something in one of these areas?
I take on a small number of freelance engagements, and I am always up for comparing notes on agent architecture and retrieval design.