AI feature discovery
A grounded first milestone instead of an open-ended AI project.
- Workflow and use-case definition
- Model, data, and tool options
- Risk, privacy, latency, and cost review
- Acceptance criteria and implementation plan
Services
Build the AI feature — and the reliable product system around it.
I work best with teams that have a real workflow, an existing product or data environment, and a problem where senior engineering judgment matters.
Agentic workflows
A bounded agent or model-assisted workflow connected to real business tools.
- Tool contracts and permissions
- Structured outputs and validation
- Retries, fallbacks, and human approval
- Traceability and operational monitoring
AI-enabled product backends
The application and infrastructure required to make an AI feature dependable.
- Python, Django, and FastAPI services
- PostgreSQL, Redis, and background jobs
- Authentication and data access
- Testing, Docker, cloud, and deployment
Prototype-to-production hardening
A path from a convincing demo to software a team can operate.
- Architecture and codebase assessment
- Evaluation set and release gates
- Cost and latency profiling
- Failure-mode and security review
Engagement approach
Reduce uncertainty before increasing scope.
- 1
Understand the workflow
Clarify the user, decision, data, constraints, and value of a successful result.
- 2
Design a bounded milestone
Choose the smallest slice that tests the important integration and quality risks.
- 3
Build with acceptance evidence
Deliver working behavior, tests, operational notes, and explicit limitations.
- 4
Scale what proved useful
Expand only after the workflow, economics, and operating model are understood.
Good fit
Projects where ownership matters more than ticket volume.
- Adding an AI capability to an existing SaaS product
- Connecting models to internal data and business APIs
- Turning a prototype into an operable production workflow
- Modernizing the Python backend supporting an AI product
- Diagnosing a fragile integration before a larger build
Have a workflow worth testing?
Share the current process, the intended user outcome, and what makes the problem difficult.