Buenos Aires, Autonomous City of Buenos Aires, Argentina
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Summary
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Rockstar
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Top School
Iván Arcuschin is a Computer Science PhD and researcher-engineer from Buenos Aires with 13 years of experience bridging software engineering and AI safety, specializing in automated test generation and mechanistic interpretability. He has published at ICSE and AST, led and mentored research projects during his PhD, and contributed to industry efforts at AWS on privacy-focused automated reasoning. Iván co-founded the AISAR Scholarship to grow AI safety research in Argentina and has built practical tools like an open-source circuits benchmark for interpretability and an improved Android RatingBar component. He excels on empirical projects that require both rigorous experimentation and production-quality implementation, and is known for rapidly learning new techniques and compressing complex research ideas into usable artifacts.
13 years of coding experience
9 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at Universidad de Buenos Aires / UBA
High School, High School at Hogar Naval Stella Maris E.T. Nº 37
Open source project which features a simple yet powerful RatingBar alternative to Android's default
Role in this project:
Mobile Developer (Android)
Contributions:103 commits, 6 PRs, 38 pushes in 1 year 8 months
Contributions summary:Iván primarily contributed to the development of a custom Android `RatingBar` component. Their work involved fixing drawing artifacts, such as background and separator rendering, along with implementing and improving features such as touch event handling and rating animations. The user also added getter/setter methods, implemented an `OnRatingBarChangeListener` and added the right to left feature to the app.
Contributions:11 reviews, 12 PRs, 266 pushes in 2 months
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Iván Arcuschin - Organizer at ML Alignment & Theory Scholars