Aziz Kocanaogullari
Manager Of Machine Learning at Analog Devices
United States
Summary
👤
Senior🎓
Top SchoolAziz Kocanaogullari is a manager of machine learning with eight years of experience building ML systems that improve human health, blending hands-on research and product-focused leadership. He holds a PhD in Electrical and Electronics Engineering and moved from postdoctoral work in radiology and signal processing at Harvard/Boston Children’s Hospital into industry research and now management at Analog Devices. His technical strengths span signal processing, active learning, and Bayesian/sample-efficient methods—skills he applied to brain–computer interface frameworks like BciPy and SLAM-related deep feature matching during MERL internships. Aziz is comfortable writing math and production code daily, bridging theory and deployment to shave sample requirements and improve inference robustness. He brings a rare combination of academic rigor, practical sensor/array signal expertise, and leadership in translating research prototypes into scalable ML systems for healthcare and embedded applications.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Northeastern UniversityMaster of Science (MSc), Telecommunications Engineering, Master of Science (MSc), Telecommunications Engineering at Istanbul Technical University
Turkish, English, German
Github Skills (8)
brain-computer-interface10
data-acquisition10
signal-processing10
python9
language-model8
generative1
signal1
modeling1
Programming languages (3)
Github contributions (5)
neu-spiral/ActiveQueryRSVPKeyboard
Sep 2018 - Dec 2019
Contributions:1 PR, 76 pushes, 8 branches in 1 year 2 months
neu-spiral/ActorCriticBCI
Nov 2018 - Feb 2019
Contributions:1 PR, 13 pushes, 3 branches in 2 months
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