MSc Computer Science student at Université libre de Bruxelles (ULB), specializing in Artificial Intelligence & Data Science.

I am mainly interested in database systems, data-intensive software, algorithms and optimization, and applied machine learning.

Native PostgreSQL extension written in C for genomic sequence data.

• custom dna, kmer, and qkmer types
• PostgreSQL operators and functions
• hash, B-tree, and SP-GiST index support
• SQL tests and Docker-based development workflow

C · PostgreSQL · SQL · Docker · Linux

Implementation and experimental comparison of local-search methods for the Linear Ordering Problem.

• transpose, exchange, and insert neighborhoods
• first- and best-improvement search
• Variable Neighborhood Descent
• benchmark automation and statistical analysis

C · R · Combinatorial Optimization · Benchmarking

Experimental Python implementation of a cooperative-agent model for repeated bimatrix games.

• particle-based opponent modelling
• Nash-equilibrium computation with Lemke–Howson
• repeated-game simulation and evaluation
• reproducible tests and experiment scripts

Python · Game Theory · Nash Equilibria · Simulation

Collaborative Python chess application supporting human play, Minimax-based opponents, and a neural-network mode. My contributions are preserved in the repository history.

Python · Minimax · Game AI

Languages: Python, C, Java, SQL, R
Systems / tools: PostgreSQL, Docker, Linux, Git
Current focus: database indexing, combinatorial optimization, reinforcement learning, and reproducible experiments

Currently looking for software engineering, data engineering, backend/database, and applied AI/ML internship or student opportunities.