Fotios Spyridakos
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolFotios Spyridakos is a biomedical engineer and machine learning practitioner based in London with five years of experience applying ML to human–machine interfacing and translational research. Trained at Imperial College London (MEng, First Class), he has worked with leading research groups and as a Machine Learning Research Engineer at Ivy, where he contributed backend support for TensorFlow linear algebra features in an open-source project that converts ML code between frameworks. Comfortable across computational pipelines and experimentation, he combines a strong academic foundation with hands-on engineering—writing tests, documentation, and production-oriented code. Having lived in five countries, he brings cultural adaptability and strong interpersonal skills that help him collaborate across multidisciplinary teams. He’s seeking roles where he can continue turning ML research into real-world impact while learning from and mentoring peers.
5 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Bioengineering and Biomedical Engineering, First Class Honours (74%), Master of Engineering - MEng, Bioengineering and Biomedical Engineering, First Class Honours (74%) at Imperial College London
English, Greek, German
Github Skills (9)
ivy10
tensorflow10
python10
linear-algebra10
testing9
backend9
back-end-development9
deep-learning5
machine-learning5
Programming languages (2)
Github contributions (5)
ivy-llc/ivy
Sep 2022 - Jan 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
Backend Engineer
Backend EngineerContributions:99 reviews, 83 commits, 99 PRs in 4 months
Contributions summary:Fotios primarily contributed to the TensorFlow frontend by adding support for core linear algebra functions, including tensor operations, matrix transpose, and matrix properties. Their work involved implementing new functions within the TensorFlow frontend, as well as writing tests for the implemented functions. The user also made documentation and other general improvements to the codebase.
pythontensorflowframework-learningtemplatedata-science
fspyridakos/ivy
Aug 2022 - Apr 2023
The Unified Machine Learning Framework
Contributions:414 pushes, 35 branches in 7 months
pythondata-sciencedeep-learningmachine-learningframework-learning
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