AI systems engineer · Sousse, Tunisia
I build systems for university scheduling, entity resolution, and intelligence monitoring, turning complex information into useful software.
Currently at A Cubic.
Selected projects
University timetabling
A reinforcement-learning scheduler that brings rooms, instructors, student groups, and scheduling rules into one university timetable.
System sketch · illustrative
One schedule. Interdependent constraints.
Event intelligence & attendee due diligence
A B2B event intelligence platform that verifies attendees across eleven OSINT sources and screens them against 1.5 million sanctions and watchlist entries.
System sketch · illustrative
Connected information, with a source behind every relationship.
Causal AI for pharmacogenomics
A drug-repurposing engine that harmonizes four scientific databases and verifies generated relationships before they enter the graph.
System sketch · illustrative
Generated candidates pass through explicit verification gates.
LLM-powered monitoring of strategic and regulatory signals.
A shared foundation for scraping, observability, and proxy management.
OCR and preprocessing for 19th-century documents.
Book question answering and hotel-name normalization.
From model development to production systems
Contract · part-time
University scheduling, attendee due diligence, and scientific verification systems across Carthalgo, Richouty, and Skoly.
Full-time
LLM intelligence systems, reusable scraping infrastructure, and automated newsletter workflows.
Classification, model evaluation, fine-tuning contributions, and retrieval-augmented generation.
Earlier: software testing at Dräxlmaier (2022 to 2023), and computer vision at ENOVA Robotics (2021 to 2022).
PyTorch, LangGraph, RAG, Neo4j, Cypher
Python, SQL, FastAPI, PostgreSQL, Scrapy
AWS, Docker, Terraform, Grafana, Loki
Have a project in mind, an interesting role, or something you’d like to discuss? I’d be happy to hear from you.