Gunes Kayacik
Staff Data Scientist
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolGunes Kayacik is a Staff Data Scientist with 12 years of experience applying machine learning and statistical methods to security, networking, and IoT problems across industry and academia. Based in the Greater Seattle Area, he builds low-false-positive detectors and productionized ML systems—most notably reducing IP false positives at Okta from ~2% to 0.001% and deploying campus-scale WiFi clustering at Aruba. His work spans anomaly detection, explainable ML, embeddings for discrete variables, and time-series models for compromised account detection and driver behavior scoring. He combines rigorous research (Marie Curie fellow, PhD) with hands-on engineering—shipping streaming, poison-resistant algorithms and interpretable models that operate at internet scale. An understated strength is turning noisy, mostly-discrete telemetry into stable, actionable insights that persist over time.
12 years of coding experience
15 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at Dalhousie UniversityBachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at Ege Üniversitesi
English, Turkish
Github Skills (4)
quantile7
data-structure4
statistics3
online-algorithms3
Programming languages (1)
Github contributions (5)
kayacik/linear-gp
Oct 2013 - Jun 2015
Contributions:13 commits, 7 pushes in 1 year 7 months
kayacik/userprofiler
Mar 2014 - May 2014
Contributions:8 commits in 1 month
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