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About I am a 21 year old, French, Computer Science and Engineering student at Delft University of Technology. I am interested in topics like machine learning and artificial intelligence, as well as the quantum tech stack, such as semiconductor and superconductor quantum bits, quantum algorithms, and quantum cryptography.
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FEATURED
PROJECTS
FULL STACK DEVELOPMENT /
SAAS FOR EVENT MANAGEMENT
RIMO — EVENT MANAGEMENT SAAS
SIDE PROJECTS /
GUIDANCE FOR FUEL OPTIMAL LARGE DIVERTS
GUIDANCE FOR FUEL OPTIMAL LARGE DIVERTS
Education
A quick snapshot of where I’ve learned (and what I focused on).
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Expected Graduation: July 2026
Delft University of Technology
Bachelor of Computer Science and Engineering
Data focused curriculum, which includes courses like Machine Learning, Data Mining, Collaborative Artificial Intelligence, Computational Intelligence, Big Data Processing and more.
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Sept 2024 - Feb 2025
Delft University of Technology
Minor Quantum Computing, Quantum Information and Quantum Technology
Minor focusing on the mathematical foundations of quantum mechanics, quantum sensing and measurement techniques, and advanced topics like semiconductor and superconductor quantum bits. The minor also covers quantum communication and computation, providing a comprehensive understanding of the emerging field of quantum technology.
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Sept 2008 - July 2022
Work & Experience
Internships, part-time roles, and freelance gigs — plus the certificates that back them up.
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April 2024 - June 2024
Software Engineering Intern — BeDataDriven
Designed and developed a Java-based AI pipeline (LangChain + LLMs) to import large, unformatted spreadsheets into ActivityInfo (A web-based information-management platform for humanitarian monitoring & evaluation and coordination) databases, reducing onboarding time from possibly days to minutes.
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Feb 2025 – Present
Co-founder & CTO — RIMO
Architecting and developing a full-stack SaaS platform for event promotion, ticket sales and analytics; public launch planned by the end of 2025.
Latest Project
LoRA Diffusion — Dithered Style Recreation
I trained a custom LoRA on a hand-curated dataset of retro print dithers to reproduce high-frequency textures while keeping colour bleed under control. The workflow spans data generation, prompt engineering, and fine-tuning passes that balance signal-to-noise across checkpoints.
Got a question, proposal or project or want to work together on something? Feel free to reach out.