Vivek Sharath
Machine Learning Engineer at Sublime Security
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolVivek Sharath is a machine learning engineer with eight years of experience applying AI to cybersecurity, currently building detection systems at Sublime Security after designing real-time threat-detection pipelines at Zscaler. He holds an M.S. in Computer Science from the University of Chicago and a B.S. in Mathematics from UT Austin, blending rigorous theoretical foundations with production-grade engineering. Vivek specializes in end-to-end ML solutions that scale to millions of events, prioritizing low-latency inference and robust model reliability for security-critical environments. Based in San Jose, he brings both algorithmic insight and systems thinking to reduce false positives and accelerate threat response. Colleagues know him for translating complex statistical ideas into auditable, operational ML services and for a knack for finding simple, high-impact features in noisy telemetry.
8 years of coding experience
3 years of employment as a software developer
B.S Mathematics, B.S Mathematics at The University of Texas at AustinM.S Computer Science, M.S Computer Science at University of Chicago
Github Skills (3)
multilabel-classification5
data-management3
active-learning3
Programming languages (1)
Github contributions (5)
v4lakers/Voice-Conversion-Detection
Nov 2018 - Sep 2020
Contributions:7 commits, 6 pushes, 1 branch in 1 year 10 months
v4lakers/v4lakers.github.io
Aug 2018 - Sep 2020
Contributions:95 pushes, 10 issues in 2 years 1 month
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