Yusuf Tas
Machine Learning Engineer at Department 13 | Drone Technology
Canberra, Australia
Summary
👤
Senior🎓
Top SchoolYusuf Tas is a machine learning engineer finishing a PhD in Computer Science at ANU with eight years of experience applying deep learning to real-world problems across research and industry. He has built production-focused prototypes for autonomous X-ray threat detection and contributed a multi-museum dataset for domain adaptation research, alongside algorithmic trading pattern analysis work. Skilled in TensorFlow, C++, Python and embedded platforms (Raspberry Pi, Arduino), he bridges research rigor with pragmatic engineering at Department 13 | Drone Technology and prior roles at CSIRO and NCH Software. He has taught computing and data courses, authored practical deep learning tutorials, and publishes his open-source code and datasets on GitHub and his blog. Collected experience in both embedded systems and computer vision gives him a practical edge in deploying ML models to constrained hardware and security-focused domains.
8 years of coding experience
4 years of employment as a software developer
Australian National UniversityBachelor of Science (BS), Electrical and Electronics Engineering, 3.9, Bachelor of Science (BS), Electrical and Electronics Engineering, 3.9 at Fatih University
Japanese, English
Github Skills (7)
music5
music-generation5
machine-learning4
magenta4
generative-art3
python2
geoscience2
Programming languages (2)
Github contributions (5)
yusuftas/blog_python_codes
Mar 2018 - Apr 2018
Contributions:15 commits, 20 pushes, 1 branch in 24 days
yusuftas/deep_trader_bot
Apr 2018 - Apr 2018
Contributions:6 commits, 5 pushes, 1 branch in 8 days
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