Portfolio index

Capabilities / 04

Tools are useful when the decisions behind them are clear.

This is the working stack behind the portfolio: technologies used to build, observe, and ship AI-heavy products rather than a keyword inventory.

  • Python
  • LangGraph
  • OpenAI
  • PyTorch
  • React
  • Node.js
  • Tailwind CSS
  • MongoDB
  • Neo4j
  • Docker
  • AWS
  • Vercel
  • GitHub Actions
  • Git
  • LangChain
  • CrewAI
  • Hugging Face
  • TypeScript
  • Next.js
  • FastAPI
  • PostgreSQL
  • Redis
  • Prisma
  • Kubernetes
  • Google Cloud
  • GitHub
  • Linux

Real tools · production systems · open infrastructure

Capability map
01

Agent systems

Memory architectures, tool routing, multi-agent graphs, retrieval pipelines, evaluation, guardrails, and human checkpoints.

Python · LangChain · LangGraph · CrewAI · OpenAI · Hugging Face
02

Product engineering

Responsive interfaces and service layers that expose complex systems without exposing unnecessary complexity.

TypeScript · React · Next.js · Node.js · FastAPI · Tailwind CSS
03

Data & state

Relational, graph, cache, and vector-oriented storage selected around access patterns and operational constraints.

PostgreSQL · MongoDB · Redis · Neo4j · Prisma
04

Infrastructure

Containerized delivery, automated checks, cloud deployment, and production diagnostics for repeatable releases.

Docker · Kubernetes · AWS · Google Cloud · GitHub Actions · Linux