An example application that exposes a multi-step, quality-controlled LLM workflow built with LangGraph through a FastAPI service.

A self-hosted, dockerized agentic coder with Kilocode and Codex support

A repository-based workflow for coordinating AI development tools using deterministic, snapshot-driven shared context.

Multiple specialized agents collaborate to create content. Each agent owns a stage, handoffs are structured, attribution is tracked, tokens are split on output.

Local development CLI for running AI agent pipelines without a Kubernetes cluster

Senior AI Engineer @ Coinbase | Architecting Enterprise LangGraph & RAG Systems | Bridging Philosophy & Distributed Systems

Production-grade Agentic RAG system for luxury chauffeur dispatch. Built with Azure OpenAI, Semantic Kernel, and atomic SQL booking logic to handle real-time fleet orchestration and long-term customer memory.

MedGemma Clinical Robustness Assistant Multi-agent dermatology diagnosis system with safety-governed agentic pause and evidence-grounded RAG (Kaggle Med-Gemma Impact Challenge).

Langgraph-powered agent that runs a coding task in gVisor

Helm charts for kubeswarm - AI agents as Kubernetes-native resources

LangGraph implementation of ReWOO: Reasoning Without Observation framework

AI-powered Multi-Agent Lead Intelligence Platform for utility cost-reduction consulting. Uses specialized agents (Scout, Analyst, Writer) to discover high-spend companies, enrich and score them as leads, and automate personalized outreach with human approval at every step

Kubernetes operator that manages AI agents as first-class resources