Nicolas Almerge is a software engineer and EPFL master’s student with seven years of experience spanning cybersecurity, NLP and backend development. He currently interns in cybersecurity at Rolex and previously identified vulnerabilities as a research assistant at EPFL’s HexHive lab while building NLP big-data tooling for labeled, filterable text search. A 4.0 McGill CS graduate, he has taught and mentored students (TA award recipient), co-authored a MODELS 2023 paper, and worked in large codebases (~400k LOC). He contributes to the popular discord.py project—improving permission semantics, system channel flags and documentation—and has practical automation experience such as scripting a document-archive migration for BMW. Based in Lausanne, he combines rigorous academic training with pragmatic, security-minded engineering.
7 years of coding experience
2 years of employment as a software developer
Scientific Baccalaureate, Mathematics Speciality - OIB Option, First Class Honours, Scientific Baccalaureate, Mathematics Speciality - OIB Option, First Class Honours at François Premier International High School, Fontainebleau
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Ecole polytechnique fédérale de Lausanne
Bachelor of Science - BS, Computer Science, 4.0 / 4.0 (Cumulative GPA), Bachelor of Science - BS, Computer Science, 4.0 / 4.0 (Cumulative GPA) at McGill University
Contributions:8 reviews, 5 commits, 28 PRs in 2 months
Contributions summary:Nicolas primarily focused on improving the `discord.py` library's internal implementation. Their contributions involved updating and refining permission-related methods to align with the Discord UI. They also added functionality for system channel flags and documentation updates. Overall, the commits reflect a focus on improving the library's API and documentation consistency.
Contributions:14 commits, 3 pushes, 2 branches in 1 year 9 months
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