Halid Yerebakan
AI Architect at Siemens Healthineers
Carmel, Indiana, United States
Summary
👤
Senior🎓
Top SchoolHalid Yerebakan is an AI Architect with a PhD in Machine Learning from Purdue and over a decade of experience building and deploying ML systems for medical imaging and radiology at Siemens Healthineers. He combines deep research expertise in Bayesian nonparametrics, topic models and representation learning with practical experience shipping LSTM, ResNet and Transformer-based solutions and cloud infrastructure for production AI. Skilled in Python and low-level ML frameworks since the early days of deep learning, he has a rare blend of academic rigor and hands-on engineering that improves clinical workflow, report generation, and image segmentation. Based in Carmel, Indiana, he also has a strong track record mentoring and teaching, and has pushed novel inference algorithms for hierarchical topic models that hint at continued innovation beyond standard deep learning toolkits.
11 years of coding experience
9 years of employment as a software developer
PhD Machine Learning Statistics CS, PhD Machine Learning Statistics CS at Purdue UniversityBS Electronics Engineering Computer Engineering (Double major), BS Electronics Engineering Computer Engineering (Double major) at Fatih University
English, Turkish, Arabic
Stackoverflow
80reputation
3kreached
8answers
7questions
Github Skills (82)
python10
language-server-protocol10
deep-learning10
python-development10
qt10
ml10
neural-network10
data-science10
anaconda10
pyqt10
tensorflow10
development-environment10
google-colaboratory10
spyder10
ide10
Programming languages (4)
Github contributions (5)
halidziya/The-Peace-Island
Jan 2017 - Sep 2022
Contributions:24 pushes, 1 branch in 5 years 9 months
halidziya/I2GMM
Oct 2014 - Jan 2020
Infinite mixtures of Infinite Gaussian Mixtures : Two layer non-parametric clustering algorithm for continuous data. FastMat is required in current version
Contributions:2 releases, 28 commits, 1 PR in 5 years 3 months
continuous-datasplinesparametriccontinuousnon-parametric
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