From REST APIs & cloud infrastructure to autonomous agents — I build backend systems that scale, and the harnesses that let AI agents ship them safely.
I'm a Backend & DevOps engineer who has spent 2026 going deep on agentic AI. My foundation is Python web services — FastAPI, Django, Flask — wired to PostgreSQL, Redis and shipped onto AWS with Docker, Kubernetes and CI/CD.
Lately I build the layer above the code: skill harnesses, multi-agent systems and MCP tooling that carry a change from brainstorm to ship, with guardrails deciding how careful to be at each step.
⚡ Fun fact: Food and Music 🎵 are the reasons to live.
Built REST APIs, authentication, payments and data pipelines. Learned to model data well and keep services clean and testable.
Took those services to production: blue-green deployments on AWS ECS, EKS clusters, CI/CD pipelines, and load-testing at scale with Locust.
Building the tooling that lets AI agents do real engineering — risk-gated skill harnesses, multi-agent research systems, and MCP servers.
Risk-gated /skills for Claude Code — 14 invocable skills that carry a change from brainstorm → ship, with a harness deciding how careful to be at every step.
Deep Agents Research Assistant — a LangChain Deep Agents demo surfacing planning, subagent spawning and memory on a live dashboard.
Travel Planner API — a clean FastAPI booking backend (flights, hotels, bookings) built for frontends to develop against.
Zero-downtime blue/green deployments on AWS ECS — the DevOps playbook for shipping to production without flinching.
Got an interesting system to scale or an agent to set loose? Let's talk.