Applied AI / Backend Engineer based in Greater Montréal, QC, Canada
I build production-oriented AI applications and backend systems with Python, FastAPI, RabbitMQ/Dramatiq, Docker, PostgreSQL, Nginx, FFmpeg, and local/cloud LLM backends.
My recent work spans queue-based AI media pipelines, self-hosted LLM tooling, production content-ingestion systems, structured-output workflows, and LLM evaluation.
A production-oriented, Dockerized AI video-generation backend coordinating NocoDB ingestion, TTS, model inference, FFmpeg composition, storage, and result updates through RabbitMQ/Dramatiq workers.
A self-hosted LLM application platform built with FastAPI and Letta, supporting model routing, prompt/schema management, structured-labeling workflows, validation/retry controls, and private-network deployment.
- Applied AI and GenAI systems
- Python and FastAPI backend engineering
- LLM evaluation and structured outputs
- AI media and production data pipelines