← All skills

AI Engineering

I can ship production-style AI systems, not just notebooks.

LLMRAGagentstool callingevalsembeddingsvector searchobservabilitydeploymentcostsecurityfull-stack AI

Skill → evidence

Every skill below links to the project(s) that prove it. The portfolio is the evidence.

Hosted LLM products

Full-stack, deployed AI apps, not demos in a notebook.

RAG & source-grounded output

Ingest, chunk, embed, retrieve, and generate with citations.

Agentic workflows & tool calling

Planner + manual tool-calling loop with human approval.

LLM evals & regression testing

Deterministic checks + LLM-as-judge, scorecards, release gates.

Observability: latency & cost

Per-run latency and token-cost tracking on every call.

Multimodal reasoning

Vision critique of UI screenshots with structured output.

Embeddings & vector search

pgvector similarity search; deterministic mock vectors.

Secure secret handling

No secrets in code; .env.example everywhere; mock-first.

Structured output contracts

Strict JSON schemas validated before render and test.

Full-stack TypeScript / Next.js

App Router, API routes, Tailwind, Vercel deployment.