Summary
Prassanna Ravishankar is a machine learning infrastructure engineer based in London, UK, with 11 years of experience delivering scalable AI platforms. He is currently at Scale AI building a GenAI infrastructure platform, and previously led ML cloud training and serverless model serving at Papercup, architecting a stack that grew from 16 to 50 GPUs and reduced idle costs by 90%. At Zenith Ai, he drove performance improvements—from faster docker builds to an async queue-based graph executor and a secure self-service ML app framework—accelerating molecular design optimization on AWS SageMaker. His early career fused applied research and computer vision, working on 3D geometry, gaze estimation, and object tracking, backed by an MSc in Computer Vision from The University of Sheffield and a BE in Electronics and Communications Engineering from Manipal Institute of Technology. He is driven by the pursuit of simplification and unification in code and AI, aiming to connect image processing, ML, and blockchain into practical, production-grade solutions.
11 years of coding experience
12 years of employment as a software developer
Master of Science (MSc) Computer Vision, Master of Science (MSc) Computer Vision at The University of Sheffield
English, Hindi, Tamil, Telugu, Spanish