How I Work
Product first, reliability next.
I design and ship LLM features, agents, and knowledge systems for founders who need them in production — evaluated, observable, and wired into the rest of the stack.
How I work
Understand → Define → Architect → Build → Launch.
- 01
Understand
What you are building, who it is for, and the constraint that actually matters — time, risk, regulation, or capital.
- 02
Define
A sharp product slice. What ships first, what waits, and what would make this the wrong project.
- 03
Architect
Stack, data, AI boundaries, and the AWS shape that will still make sense after the first fifty users.
- 04
Build
I implement the critical path. When the work needs more hands, I bring trusted engineers and stay the technical contact.
- 05
Launch
Production, observability, and a handover you can operate — or we keep building the next slice together.
Starting from zero
Starting with an idea, not a codebase?
Most founders I work with do not have an existing team or a legacy system to wrap. The job is to go from a sharp idea to a product in production — without a large outsourced team in the middle.
- 01Idea
- 02Definition
- 03Architecture
- 04Build
- 05Launch
What I build
AI first. Product and architecture beside it.
AI engineering is the sharpest edge. The same engagement can still cover the product, the cloud, and the first team around it.
Primary focus
AI Engineering
Agents, RAG, document intelligence, and LLM features that belong in a real product — not a demo.
- AI agents and agentic workflows
- LLM-powered applications
- RAG and knowledge systems
- AI automation
- Document intelligence
- AI integrations and product features
- Evaluation, reliability, and AI infrastructure
Product
Product Engineering
Greenfield SaaS, web, mobile, and the backend that makes a first product shippable.
- Greenfield SaaS products
- Web and mobile applications
- Backend and API development
- Integrations, auth, and payments
- MVP and first-product development
Leadership
Architecture & Technical Leadership
The decisions before the first sprint: architecture, cloud, stack, and a roadmap you can hire against.
- Product and AI architecture
- AWS and cloud architecture
- Technology selection
- Technical roadmap
- Engineering team setup and scaling