Abhishek Kumar
Director of Engineering, Instagram Relevance @ Instagram
About
Led multiple of Meta’s critical 0-1 products/initiatives to success and sustainability - Instagram Reels, Instagram Feed Recommendations, Instagram Labs, Facebook Stories, Facebook Marketplace Search, Facebook Search Whole Page Ranking and Facebook Trending. ~12 years of experience in Machine Learning, Search and Recommendation, delivering multiple SoTA ML initiatives, particularly focused on foundational models (LLMs) in Recommendations. Grew/hired 15+ Senior Managers (M2s), Senior Staff Engineers (IC7) and Distinguished Engineers (Engineering Director IC or IC8).
United States
Menlo Park
Computer Software
Algorithms, Data Structures, C, C++, Java, Eclipse, Linux, Machine Learning, Distributed Systems, Git, Servlets, MySQL, PHP
Experience
Director of Engineering, Instagram Relevance
Menlo Park, California, United States
𝐋𝐞𝐝 𝐈𝐆 𝐑𝐞𝐞𝐥𝐬 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞(𝐢.𝐞. 𝐌𝐋+𝐈𝐧𝐟𝐫𝐚) 𝐬𝐢𝐧𝐜𝐞 𝐢𝐭𝐬 𝐧𝐞𝐚𝐫 𝐢𝐧𝐜𝐞𝐩𝐭𝐢𝐨𝐧 • Brought Reels from being negative to IG’s engagement and retention to being the majority(50%+) contributor to IG’s year-over-year engagement and retention growth. Grew Reels from accounting for less than 5% of time-spent on IG, to 50%+. Achieved these during a span of 2 years. • Grew the team from 25 to 150+, including 4 Senior Managers, 7 Senior Staff Engineers and 1 Distinguished Engineer(Engineering Director) 𝐋𝐞𝐝 𝐈𝐆 𝐅𝐞𝐞𝐝 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐛𝐫𝐨𝐮𝐠𝐡𝐭 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐚𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 • Built IG Feed Recommendations from scratch and over 1.5 years establishing it as the majority contributor to IG Feed’s year-over-year engagement and retention growth. Grew its footprint(impressions) on Feed from 0 to 30%. • Grew the team from 0 to 30. Hired/grew 2 Senior Managers and 2 Senior Staff Engineers. • Successfully delivered the largest unification of 2 relevance systems at Meta: IG Feed’s Recommendations and Connected Ranking - beating the deadline by 30%. • Drove merging of Feed Recommendations and Connected Feed teams into IG Feed Relevance, a team of 80+ ICs+EMs. 𝐅𝐨𝐮𝐧𝐝𝐞𝐝 𝐈𝐆 𝐋𝐚𝐛𝐬 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞 𝐭𝐞𝐚𝐦 𝐚𝐧𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐢𝐧𝐜𝐮𝐛𝐚𝐭𝐞𝐝 𝐦𝐮𝐥𝐭𝐢𝐩𝐥𝐞 0-1 𝐏𝐫𝐨𝐝𝐮𝐜𝐭<>𝐌𝐋 𝐈𝐆 𝐛𝐞𝐭𝐬 • Successfully launched multiple 0-1 IG big-bets with strong impact - Reposts, AI translation/dubbing, Friendly Feed, Photos-Carousels in Reels Tab. • Grew the team from 0 to 40 including 1 Senior Manager and 2 Senior Staff Engineers. 𝐅𝐨𝐮𝐧𝐝𝐞𝐝 𝐭𝐡𝐞 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞 𝐂𝐨𝐫𝐞 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐭𝐞𝐚𝐦𝐬 (𝐜𝐮𝐫𝐫𝐞𝐧𝐭𝐥𝐲 60+ 𝐜𝐨𝐦𝐛𝐢𝐧𝐞𝐝) • Delivered several SoTA ML initiatives successfully: Foundational models(LLMs), Longterm user interaction(sequence) modeling through Transformers, Content Exploration.

Senior Engineering Manager, Feed and Stories
Menlo Park, California, United States
𝐈𝐧𝐢𝐭𝐢𝐚𝐭𝐞𝐝 𝐚𝐧𝐝 𝐥𝐞𝐝 𝐅𝐁’𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬 𝐑𝐚𝐧𝐤𝐢𝐧𝐠, 𝐞𝐬𝐭𝐚𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠 𝐢𝐭 𝐚𝐬 𝐭𝐡𝐞 𝐥𝐚𝐫𝐠𝐞𝐬𝐭 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐨𝐫 𝐭𝐨𝐰𝐚𝐫𝐝 𝐅𝐁 𝐒𝐭𝐨𝐫𝐢𝐞𝐬 𝐲𝐞𝐚𝐫-𝐨𝐯𝐞𝐫-𝐲𝐞𝐚𝐫 𝐠𝐫𝐨𝐰𝐭𝐡, 𝐚𝐧𝐝 𝐚 𝐤𝐞𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐭𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐫𝐞𝐝 𝐭𝐨 𝐒𝐧𝐚𝐩𝐜𝐡𝐚𝐭. • Grew the team from 0 to 20 over a period of 1.5 years. • Led FB’s Feed Ranking, delivering sustained impact - largest contributor to engagement on FB. • Founded FB’s Music Recommendation initiative and established it as an impactful lever for Creation - 15% of FB’s Creation growth for 3 years following its inception.

Staff Engineer / Engineering Manager, Facebook Search
Menlo Park
𝐈𝐧𝐢𝐭𝐢𝐚𝐭𝐞𝐝 𝐚𝐧𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 𝐬𝐞𝐯𝐞𝐫𝐚𝐥 𝐒𝐞𝐚𝐫𝐜𝐡 𝐚𝐧𝐝 𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐯𝐞𝐫𝐭𝐢𝐜𝐚𝐥𝐬 • Built a quality Marketplace Search ranking singlehandedly in less than a week. This unblocked the launch of Marketplace and was a sustained foundation for ranking impact over the next 2 years. • Took on as the TL on FB’s Trending product. Grew its engagement by 40%+ over a period of 5 months, through a team of 4. Shipped Search’s first realtime and sparse heavy large ML model. • In addition, delivered impactful launches on ranking and infra for almost all Search verticals - entities, videos, photos, places, news. 𝐓𝐋 𝐨𝐧 𝐒𝐞𝐚𝐫𝐜𝐡’𝐬 𝐖𝐡𝐨𝐥𝐞 𝐏𝐚𝐠𝐞 𝐑𝐚𝐧𝐤𝐢𝐧𝐠 (8 𝐈𝐂𝐬) • blending and ranking Search results from 10+ content types. 𝐁𝐮𝐢𝐥𝐭 𝐅𝐁 𝐒𝐞𝐚𝐫𝐜𝐡’𝐬 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐜𝐨𝐮𝐧𝐭𝐞𝐫 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦.
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