I recently graduated Summa Cum Laude from UCLouvain (École Polytechnique de Louvain) with an MSc in Computer Science & Engineering, specializing in Artificial Intelligence.
I'm looking to join a team as an AI / ML Engineer, building AI systems that actually ship to production.
I'm passionate about Computer Vision, Natural Language Processing, and Generative AI (LLMs, RAG & Agentic AI) — and I enjoy engineering the entire pipeline behind them, from large-scale training on HPC GPU clusters (SLURM) to Docker-containerized deployment on Azure and full-stack delivery.
I'm open to AI / ML Engineer roles in Belgium (on-site/hybrid) or fully remote across the EU.
Reach out via LinkedIn or at mathis.delsart@gmail.com.
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ML & DL |
Generative AI |
Web & Backend |
Databases |
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DevOps & Cloud |
Systems & Embedded |
Dev Tools |
AI Tooling |
Deep Reinforcement Learning for Competitive Agents in MicroRTS — Architecture, Training, and Tournament Evaluation
UCLouvain · Completed June 2026 · Accepted at IEEE CoG 2026
A DRL agent for real-time strategy games, fusing a U-Net spatial encoder with an entity-level Transformer (UECD) and trained end-to-end with a modular PPO pipeline on HPC GPU clusters (SLURM) — every design decision individually ablated.
- 🥇 96.67% pool win rate — tops a 19-agent tournament (1st on 4 of 5 metrics)
- ⚔️ Beats RAISocketAI (CoG competition winner) in 65.7% of head-to-heads
- ⚡ Trained on just 9.47 GPU-days — vs the 23.6 reported by RAISocketAI
UECD-Best (ours, top-left) vs RAISocketAI (bottom-right)


