// what I buildWhat I Build

Most projects are some mix of the below. The common thread: production systems that work reliably, not demos that look good in a meeting.

LLM-Powered Features
Chatbots, summarization, document understanding, AI-assisted workflows — integrated into your existing product, not bolted on as an afterthought. I handle prompt engineering, model selection, cost optimization, and the unglamorous work of making it reliable at scale.
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RAG Systems & Semantic Search
Your team has thousands of documents, knowledge base articles, or clinical records that need to be searchable and usable by AI. I build retrieval-augmented generation pipelines that actually return accurate results — with proper chunking, embedding strategies, and evaluation so you know when they're wrong.
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Data Extraction & Intelligent Automation
Unstructured data in, structured data out. PDFs, emails, forms, clinical notes — I build pipelines that extract, classify, and route information that someone on your team is currently handling manually. Often the highest-ROI AI work a company can do.
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Custom Models & Prediction Systems
Not everything needs an LLM. Classification, regression, anomaly detection, recommendation systems — sometimes a well-tuned traditional ML model is faster, cheaper, and more explainable. I help teams pick the right tool and build it properly.
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Evaluation & Quality Infrastructure
The part most teams skip. Eval harnesses, output monitoring, regression testing, cost tracking — the infrastructure that tells you whether your AI system is actually working in production and alerts you when it drifts. This is where "demo" becomes "product."
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Custom AI Assistants
NEW
AI assistants designed around your team's actual workflows — from simple task bots to multi-agent systems with tool access, memory, and domain knowledge. Not a generic chatbot wrapper.
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// how we work togetherEngagement Models

Three engagement models depending on what you need. Most clients start with strategy or a scoped implementation, and some move to fractional once we've built trust.

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.

Architecture review & gap analysis
Model selection & cost modeling
Build-vs-buy decision framework
Implementation roadmap with milestones
02 implementation scoped 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. Scope and timeline defined upfront.

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.

// tech I work with dailyTechnology
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 --consultBook a consultation