01 strategy short engagement

A deep-dive into your AI strategy and technical architecture. I review what you have, evaluate what you need, and deliver a written document with clear, actionable recommendations. Not a slide deck. Not a vibes check.

// deliverables
Architecture review & gap analysis
Model selection & cost modeling
Build-vs-buy decision framework
Implementation roadmap with milestones
02 implementation medium/large project

Hands-on engineering to take AI features from concept to production. I write the code, build the pipeline, set up evaluation — and hand you a system that works, not a notebook that demos well.

// what I build
Custom model training & feature engineering
Classification, regression & prediction systems
LLM integrations, RAG & semantic search
Data pipelines & intelligent automation
Evaluation harnesses & quality monitoring
03 fractional monthly retainer

Retained for ongoing advisory and hands-on work — I'm the person your team pings when they hit an AI problem they can't crack. Architecture calls, PR review, tricky implementation questions. No standups, no status updates, just the hard parts.

// what this looks like
Sprint-level feature development
Code review & architecture guidance
AI best practices & team mentoring
On-call for production AI issues
// tech I work with daily
TypeScript / React / Node.js Python / FastApi / Pandas / Numpy sklearn / PyTorch / TensorFlow / Keras PostgreSQL / BigQuery OpenAI / Anthropic / Gemini LangChain / HuggingFace PGVector / Qdrant / LlamaIndex Docker / AWS / GCP MCP / VLLM
Want to work together?
30 minutes. No pitch. Just a conversation.
$ book --consult