Rohit Alekar is a Software Engineer with deep expertise in machine learning infrastructure, large-scale data systems, and distributed platforms. He currently works at Meta, where he plays a key role in building and scaling infrastructure that powers feature engineering for ad ranking systems across major products. His work focuses on improving system reliability, enabling efficient feature generation, and supporting large-scale machine learning pipelines that drive critical business outcomes. He has contributed to infrastructure initiatives that enhance scalability, operational efficiency, and the overall performance of data-driven systems serving billions of users.
Prior to Meta, Rohit worked at Pinterest, where he contributed to machine learning infrastructure for ads targeting and shopping platforms. He developed and optimized large-scale data pipelines, improved system responsiveness, and enabled more effective targeting and indexing capabilities. His work supported scalable model deployment and reliable content processing systems essential to Pinterest’s advertising ecosystem.
Earlier in his career, Rohit held engineering roles at Samsung and Shutterfly, where he built foundational systems for machine learning workflows, real-time data processing, and payments infrastructure. He focused on improving standardization, scalability, and production readiness across complex engineering environments. Rohit began his professional journey in database administration, developing strong expertise in data management, system optimization, and performance engineering.
He holds a Master’s degree in Computer Science from Indiana University and a Bachelor’s degree in Information Technology from the University of Pune.