Bhuvan Venkatesh is a senior data scientist with 11 years of experience specializing in fraud and spam detection, currently leading efforts at Spotify to use ML to detect adversarial attacks against podcasts and expanding coverage to audiobooks and new content verticals. He has a strong track record at scale—from building a trash-news detector at Facebook that impacted millions of views daily to identifying high-severity, low-frequency content integrity risks at Meta. Comfortable both mentoring and shipping production systems, he has taught data science concepts professionally and helped develop course materials at UIUC. Based in Chicago, he blends academic rigor (MS/BS in Computer Science from UIUC) with pragmatic, cost-saving ML solutions that have directly reduced platform losses. Notably, his approach emphasizes spotting adversarial patterns rather than just anomalies, enabling proactive defenses across emerging audio formats.
11 years of coding experience
5 years of employment as a software developer
Master of Computer Science Computer Science, Master of Computer Science Computer Science at University of Illinois Urbana-Champaign
Contributions:2 PRs, 117 pushes, 4 branches in 4 years 10 months
reactnextjs
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