01
Context first
Define what the model needs to know — user profile, history, and retrieval — before polishing prompts in isolation.
For AI-first products
AI productsthat feel useful.
I build AI applications where the model is part of a real product system — profiles, context, workflows, and interfaces — not a demo bolted onto a landing page.
01
Who this is for
Who this is for
Ideal for teams building AI companions, intelligent workflows, or data products that need thoughtful UX and production-ready engineering.
02
What you get
What you get
- 01AI product design from concept through production
- 02LLM integrations grounded in user context and real data
- 03Vector retrieval, profiles, and durable product architecture
- 04Interfaces that make AI output understandable and actionable
03
How it works
How it works
02
Productized AI
Design features people can trust: logging, insights, workflows, and clear boundaries around what the AI does and does not do.
03
Ship with discipline
Build on a modern stack with privacy, performance, and iteration paths designed in from the start.
04
Relevant work
Relevant work
GlucorAI
Custom user profiles, vector database for AI context, AI food carb counter, and insights generated from personal health data.
Practical Drumming
AI Sprint Coach woven into a membership product for between-session support.
Summit — Contact
Looking for a senior engineerwho can own the whole stack?
I'm currently available for remote full-time W-2 opportunities in Senior Full-Stack Engineering, Product Engineering, and AI-powered application development.
Select freelance and consulting projects also considered.
Get in touch