Aysu Sayin is a Senior Software Engineer with nine years of experience building reliable systems at scale, currently contributing to Meta after progressing from intern to senior engineer. She has deep practical experience in systems and SRE work—implementing features in Go for Google's monitoring and privacy tooling—and is fluent in Python, Java, C++ and Go. Her background blends research (novel neural architectures for robotics) and ML engineering on cloud platforms like SageMaker, giving her a cross-disciplinary edge between infrastructure and applied ML. Based in London and educated at Boğaziçi University (now pursuing Informatik MSc at TUM), she brings a continuous-learning mindset and a track record of shipping production features across large, open-source and internal codebases.
9 years of coding experience
4 years of employment as a software developer
Lise Lise, Lise Lise at İstanbul Özel Bahçeşehir Fen ve Teknoloji Lisesi
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at Boğaziçi University
FITing Tree is an indexing data structure that efficiently uses the memory without sacrificing the performance. For the paper: https://dl.acm.org/doi/10.1145/3299869.3319860
Contributions:1 review, 20 commits, 10 pushes in 3 months
Contributions:5 pushes, 1 branch in 2 years 7 months
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