Joy Chugh is a Machine Learning Engineer with 11 years of experience who specializes in building and shipping large-scale, production ML systems across personalization and safety domains. Currently leading multimodal fraud and scam detection at Meta, she has driven a 24% reduction in harmful content views across Facebook, Instagram and Threads while keeping false positives low. Previously at Spotify she combined causal inference, uplift modeling and deep learning to boost Premium conversions by hundreds of thousands and raise retention by 26%, and earlier work created high-throughput personalization services and knowledge-graph features powering global playlists. Comfortable across the full ML lifecycle, Joy blends hands-on model development, data pipeline engineering and technical product leadership to deliver measurable business impact. Relocating to Tokyo in March 2026, she seeks Senior ML Engineer or Tech Lead roles and brings a rare mix of safety-focused multimodal modeling and growth-oriented personalization experience.
11 years of coding experience
14 years of employment as a software developer
Manav Sthali High School
MS, Information Technology, MS, Information Technology at Worcester Polytechnic Institute
BCA, Computer Applicaton, BCA, Computer Applicaton at Guru Gobind Singh Indraprastha University
Contributions:6 PRs, 28 pushes, 3 branches in 9 days
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