Piyush Bansal is a seasoned engineering leader with 13 years of experience building large-scale recommendation and ads ranking systems at Meta, now serving as Director of Engineering in Menlo Park. He specializes in mining massive datasets, modeling complex user behavior, and learning rich ad representations to balance personalized user experience with advertiser value. His trajectory from research roles and teaching at IIIT Hyderabad to senior technical roles at Meta and stints at LinkedIn and ETH Zurich reflects a strong blend of research rigor and production-grade engineering. Known for turning sophisticated IR and crowdsourcing research into high-throughput, low-latency systems, he pairs hands-on machine-learning expertise with proven team and program leadership. An early open-source contributor during his Google Summer of Code involvement, he brings both academic depth and practical delivery to ad-ranking challenges.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Technology (BTech) with Honors + M.S by research Computer Science, Bachelor of Technology (BTech) with Honors + M.S by research Computer Science at International Institute of Information Technology Hyderabad (IIITH)
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