Services
I take on projects where I can own the problem end to end: understand the scope, design the solution, and ship clean, maintainable code with clear handoff notes. Each offer below is backed by a project I've actually shipped.
What a typical engagement delivers
- RAG pipeline
- Working ingestion pipeline with chunking benchmarks, a vector store, retrieval eval harness, and a handoff README runnable on day one.
- Data pipeline
- Clean, queryable analytics assets, automated report publishing, CI-scheduled runs, and full documentation.
- Repo audit
- Structured findings across types, tests, CI, and docs — with a prioritized fix list organized by effort and impact.
Productized offers
AI / RAG Pipeline: build or audit
Token-aware ingestion, vector search, hallucination guards, and an eval harness. Built right or reviewed against the failure modes that quietly wreck retrieval quality.
- Token-aware chunking that respects model limits
- Vector search + retrieval that returns the right context
- Hallucination guards and an evaluation harness
Data Pipeline → reporting site
Raw, messy data turned into curated, queryable analytics assets and automated reports, running unattended so the numbers stay fresh without anyone touching them.
- ETL from raw files to clean, queryable analytics assets
- Automated reports + a published docs/dashboard site
- Scheduled and unattended: no manual refresh
Engineering / repo audit
A structured audit of your codebase: language and framework signals, dependencies, tests, docs, CI, and typing. Delivered as a prioritized remediation plan. A low-commitment way to start.
- Targets fast-prototyped and AI-assisted codebases that need hardening
- Covers types, tests, dependencies, CI, docs, and structure
- Delivers a prioritized fix list you can act on or hand off
How I Work
Delivery discipline is the difference between a working prototype and a handoff you can actually use.
Define scope, constraints, and what done looks like
Define exactly what gets built, what does not, and what done looks like before writing a single line of code.
Map data contracts, failure modes, and edge cases
Map the data contracts, failure modes, and edge cases upfront. Surprises at delivery are avoidable.
Prototype the critical path first
Build a PoC or MVP that runs the critical path against real inputs. Integration failures surface here, not at delivery.
Harden with tests, input validation, and documentation
Wrap working code in tests, add input validation, and write documentation that makes the tool usable by someone else.
Deliver runnable code and handoff notes
Handoff includes working code, setup instructions, usage examples, and notes on known limitations and next steps.
Work with me.
Have a project or idea that needs to become real software? Let's build it together!