I work on applied AI systems, LLM workflows, and product driven systems.
My background sits between engineering, data science, and product, so I usually end up working on problems that require both building the system and figuring out what should be built in the first place. I enjoy working on AI features that need to run in production, not just in notebooks.
Lately I’ve been spending most of my time on:
- LLM applications, agents, and orchestration workflows
- Memory, voice, and retrievals
- Evaluation pipelines and metrics for AI systems
- Designing ML / AI systems that have to scale and stay reliable
- Early stage product building
I prefer problems where:
- the data is messy
- the requirements are unclear
- the model alone is not enough
- you have to think about infra, latency, cost, and user experience together
I enjoy working close to engineers, researchers, and founders, and I’m comfortable moving between writing code, designing systems, and discussing product decisions.
- Applied LLM systems
- Agents and multi-step workflows
- Memory systens and Voice Agents
- Eval frameworks for AI products
- Model + product + infra together
- Early stage startups
