Yazdan Shirvany
Director Of Machine Learning at Capital One
United States
Summary
👤
Senior🎓
Top SchoolYazdan Shirvany is a Director of Machine Learning with 11 years of experience building production AI and cloud systems across Capital One and Amazon, grounded in a PhD in Signals and Systems. He brings a rare blend of hands-on ML research—developing EEG-based neuroimaging and computer vision algorithms—to large-scale engineering leadership, having led Alexa AI and ML/Big Data teams at AWS. At Capital One he now focuses on secure, personalized financial products that translate data insights into measurable customer value. Comfortable across Linux, cloud platforms, and full-stack engineering, he moves teams from prototype research to resilient, compliant production. A background that spans in vivo imaging and embedded filtering algorithms hints at a deep signal-processing intuition he applies to modern ML problems.
10 years of coding experience
10 years of employment as a software developer
Master of Science Electronic and Electrical Engineering, Master of Science Electronic and Electrical Engineering at Razi UniversityDoctor of Philosophy (PhD) Signals and Systems, Doctor of Philosophy (PhD) Signals and Systems at Chalmers University of TechnologyThe University of Melbourne
English, Swedish, Persian, kordish
Github Skills (14)
big-data10
apache10
apache-flink10
sql10
python10
java10
scala10
spark-core9
security-camera7
wifi6
camera5
spark3
security3
wifi-security3
Programming languages (2)
Github contributions (5)
medcv/OneEyeFaceDetection
Feb 2018 - Feb 2018
Contributions:8 commits, 6 pushes, 1 branch in 1 day
medcv/flink
May 2018 - Jul 2018
Mirror of Apache Flink
Contributions:2 PRs, 59 pushes, 18 branches in 2 months
flinkapachebig-dataapache-flinkjava
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