Sina Sajadmanesh
Senior AI Engineer at SonyAI
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolSina Sajadmanesh is a Senior AI Engineer at Sony AI with nine years of experience building scalable vision and multimodal foundation models for real-world products. He spans the full model lifecycle—from data curation and architecture design to efficient training, evaluation, tuning, and deployment—with a strong operational focus on scalability, efficiency, and safety. Sina’s PhD from EPFL and research tenure at Idiap and The Alan Turing Institute center on privacy-preserving machine learning for graphs, yielding publications in top security venues (ACM CCS, USENIX Security) and practical open-source implementations. He has industrial research experience at Brave on federated RL and built locally private GNNs that attracted community interest on GitHub. Known for combining rigorous academic work with production-grade engineering, he specializes in trustworthy, robust, and privacy-aware AI systems that can be reliably deployed across Sony’s ecosystem. Based in Zurich, he brings a rare blend of privacy-first research and applied multimodal model engineering.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at EPFLBachelor of Science (BSc), Computer Software Engineering, Bachelor of Science (BSc), Computer Software Engineering at University of IsfahanMaster of Science (M.Sc.), Information Technology Engineering, Master of Science (M.Sc.), Information Technology Engineering at Sharif University of Technology
Persian, English
Github Skills (55)
geometric-deep-learning10
pytorch10
graph10
deep-learning10
differential-privacy10
pytorch-geometric10
graph-neural-network10
graph-convolutional-networks10
neural-network9
keras9
hyperparameter-tuning9
api8
privacy8
reinforcement-learning8
machine-learning8
Programming languages (5)
Github contributions (5)
sisaman/LPGNN
Apr 2020 - Nov 2021
Locally Private Graph Neural Networks (ACM CCS 2021)
Contributions:811 commits, 2 PRs, 268 pushes in 1 year 8 months
privacydeep-learningdifferential-privacyneural-graphmachine-learning
sisaman/CRMP
Nov 2016 - Aug 2019
Contributions:21 commits, 18 pushes, 1 branch in 2 years 9 months
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