LLM Agents & Backend Developer

I build production-ready backends and agentic AI systems that combine retrieval, tool use, and orchestration with solid data engineering. My business + IT background (HEC Montréal, bilingual program) helps connect technical delivery to product outcomes.

Recently, I shipped an agentic workflow on top of a FastAPI stack: retrieval-augmented generation, vector search, and tool-calling (search, internal ML services, data lookups), all behind authenticated endpoints with observability and safe fallbacks. Earlier work includes an end-to-end book platform (normalized SQL, embedding pipelines, and automated training/rollouts), which I now leverage as one of several tools inside the agent system.

  • Python
  • FastAPI
  • LLM Agents
  • RAG
  • Vector Search
  • PyTorch
  • LightGBM
  • SQL
  • Linux/Nginx
  • Docker
  • Azure
  • Git
  • Scikit
Projects Links About

Currently exploring: robust agent design (planning, tool routing, memory) and O’Reilly’s Data Engineering Design Patterns to deepen pipeline reliability, lineage, and deployment practices.

Agentic Systems

RAG pipelines with tool-calling: web/data search, internal ML tools, and guarded execution with structured prompts, schemas, and evaluation.

APIs & Serving

FastAPI services with caching, pagination, auth, and observability; deployed behind Nginx with safe hot reloads.

Data Engineering & MLOps

SQL modeling, feature prep, scheduled jobs, artifact promotion, and environment-aware rollouts.

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