Walid Krichene
Principal Engineer at Microsoft
United States
Summary
👤
Senior🎓
Top SchoolWalid Krichene is a Principal Engineer and Science & Tech Lead at Microsoft AI Frameworks with 14 years of experience bridging research and production in large-scale machine learning and optimization. He combines a UC Berkeley PhD in EECS focused on distributed learning and control with hands-on work at Google on distributed optimization, differential privacy, and recommender systems, and earlier industry roles building CTR models and low-latency search. Known for turning theory into scalable systems, he has operated at the intersection of algorithms, systems, and privacy-aware ML across research and engineering teams. Based in the United States, he brings deep mathematical training from Mines ParisTech and a track record of reducing algorithmic complexity in high-dimensional problems—often by rethinking data structures and inference at scale.
14 years of coding experience
1 year of employment as a software developer
Ph.D., Electrical Engineering and Computer Sciences, Ph.D., Electrical Engineering and Computer Sciences at University of California, BerkeleyMaster of Science (M.S.), Applied Mathematics, Master of Science (M.S.), Applied Mathematics at Mines ParisTechMP, MP at Louis Le Grand
English, French, Arabic
Stackoverflow
21reputation
3kreached
1answer
0questions
Github Skills (11)
neural-network10
machine-learning10
deep-learning10
tensorflow10
google10
python10
ai10
data-science10
ml9
deep-neural-networks9
scala6
Programming languages (2)
Github contributions (5)
walidk/MWRouting
Apr 2013 - Nov 2014
Contributions:67 commits in 1 year 6 months
walidk/PCP
Apr 2012 - May 2012
Contributions:28 commits in 1 month
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