Platform Engineer & Full-Stack Developer building cloud-native infrastructure and AI-powered products.

Currently building a cloud platform for deploying AI agents, MCP servers, and business apps on Kubernetes.

Designing and operating multi-tenant cloud platforms on Kubernetes. Building GitOps pipelines with ArgoCD, service mesh with Istio, and infrastructure as code with Pulumi. Managing production clusters, LXD container infrastructure, and PostgreSQL replication at scale.

Building LLM gateway services for unified model access across providers. Designing AI agent orchestration systems where autonomous agents collaborate, manage tasks, and ship code. Implementing MCP (Model Context Protocol) server deployments and marketplaces.

Running CI/CD pipelines with Temporal workflows and Kaniko for in-cluster container builds. Managing GitOps deployments with ArgoCD Image Updater for zero-downtime rollouts. Operating HAProxy-based routing with automatic service discovery across distributed infrastructure.

Building SaaS applications with Django REST Framework on the backend and React + TypeScript + Tailwind on the frontend. Designing multi-tenant architectures, billing integrations, and REST APIs that serve both web UIs and CLI tools.

Languages — Python, TypeScript, Go, Shell, SQL

Backend — Django, Django REST Framework, Temporal, Celery

Frontend — React, TypeScript, Tailwind CSS, Vite

Infrastructure — Kubernetes, ArgoCD, Istio, Pulumi, Helm, Docker, LXD

AI/ML — LLM Gateways, MCP Servers, AI Agent Orchestration, Claude API

Data — PostgreSQL (primary-replica), MySQL, Redis

Cloud — Scaleway (Kapsule, Registry, LB), Kaniko, HAProxy

CI/CD — GitOps, Temporal Workflows, GitHub Actions, ArgoCD Image Updater

• Multi-tenant SaaS platform — Full-stack Django + React application with Stripe billing, MCP marketplace, and AI agent marketplace deployed on Kubernetes with GitOps.

• LLM unification gateway — Centralized proxy for routing AI model requests across multiple providers with unified API, token tracking, and cost management.

• AI agent orchestration system — Platform where autonomous AI agents receive tasks, collaborate, and deliver code through a governed workflow with human oversight.

• GitOps infrastructure — Complete Kubernetes platform with ArgoCD, Istio service mesh, automated CI/CD using Temporal + Kaniko, and multi-environment promotion pipelines.

• Container orchestration layer — LXD-based infrastructure with HAProxy auto-discovery, load balancer integration, and automated TLS termination for multi-domain routing.

• Developer CLI tooling — CLI for workspace management, database provisioning, and MCP server deployment across Kubernetes namespaces.