Aurora
A from-scratch machine-learning project progressing from numerical foundations through autograd, attention, and transformers, with documented and tested milestones.
Amadéo Héaulme
I study at EPITA, teach computer science, and work as a software engineering intern at the European Space Agency. I am preparing for research-oriented engineering in machine learning and scientific computing through mathematics and C/C++ systems projects.
A from-scratch machine-learning project progressing from numerical foundations through autograd, attention, and transformers, with documented and tested milestones.
A C++23 astronomy and scientific-computing system for reconstructing, simulating, validating, and rendering the night sky from real stellar data.
A C++ compiler project spanning parsing, AST transformations, binding, type checking, optimization, and LLVM translation.
A C++20 concepts-based image library with reusable algorithms, morphological erosion, correctness tests, and benchmarks.
A POSIX-oriented shell in C covering tokenization, recursive parsing, expansions, pipelines, redirections, control flow, and built-ins.
A graph-based route-optimization system using OpenStreetMap data to assign streets, minimize completion time, calculate costs, and generate maps.
The complete bilingual project index and interactive résumé are available when JavaScript is enabled. A machine-readable overview is also available in llms.txt.