Summary
Ravi Vats is a Lead Data Scientist based in Singapore with 10 years of experience building scalable backend systems and production ML solutions, currently focused on LLMs and RAG-driven automation at Thoughtworks. He has strong backend and data-engineering roots from roles at Grab and Morgan Stanley, where he handled high-volume pipelines, microservices in Go, and Spark-based data quality at scale. Holding an MS in Computer Science with a Machine Learning specialization from Georgia Tech, he blends deep learning and reinforcement learning expertise with practical systems engineering. Ravi’s work sits at the intersection of model optimization and distributed systems, enabling costly human workflows to be automated reliably. Notably, his career path moved from embedded and IoT R&D to finance-grade big data and consumer logistics, giving him a rare mix of low-level systems thinking and large-scale ML deployment experience.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Ramaiah Institute Of Technology
Master of Science - MS Computer Science (Specialization: Machine Learning), Master of Science - MS Computer Science (Specialization: Machine Learning) at Georgia Institute of Technology
Deep Reinforcement Learning Nanodegree Artificial Intelligence, Deep Reinforcement Learning Nanodegree Artificial Intelligence at Udacity
CBSE Class 12th Physics Chemistry Mathematics, CBSE Class 12th Physics Chemistry Mathematics at Loyola High School, Patna
English, Hindi, Maithili