Summary
Onkar Pandit is a software engineer with 10 years of experience building large-scale, data-driven systems and production ML features, currently focusing on ranking and foundational AI at Meta after driving personalized recommendations and GenAI pipelines at Audible. He blends full-stack engineering, cloud-native AWS deployments, and ML infrastructure to deliver high-performance, product-focused features—from ML deployment tooling to real-time analytics dashboards. His background spans mobile and web platforms (React, React Native), monorepo migrations, and practical performance optimization that once improved user conversion by addressing deep-linking issues. With an MS in Computer Science from ASU, he brings both research curiosity and hands-on shipping discipline, having moved quickly from internships to senior roles. Notably, he has experience building native AWS dashboards and integrating large models into production pipelines, highlighting a knack for turning complex data workflows into simple user experiences.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Arizona State University
Bachelor of Technology, Ict, Bachelor of Technology, Ict at Dhirubhai Ambani University
High School, Science, High School, Science at J. H. Ambani Saraswati Vidymandir School