At Idenbrid, I design and build Python backends and REST APIs with FastAPI, deployed on AWS serverless infrastructure. I also build AI features that ground OpenAI and Gemini models in domain data using RAG, tool-calling, and MCP servers.
On a client project at Idenbrid, I re-architected the data layer and drove an 80% cloud cost reduction, from $13k to $2.5k annually. I use CLI coding agents like Claude Code and maintain shared CLAUDE.md configuration to keep AI-generated work consistent with team conventions.
Previously, at Cyberify, I built multi-tenant SaaS with Python and Node.js microservices and shipped AI-driven features using OpenAI and Gemini. My project work includes a serverless, RAG-powered dental assistant and a multi-tenant SaaS integrating AWS Bedrock foundation models.

