Ruthvik Ravindra is a machine learning engineer with eight years of experience building production-grade ML and NLP systems, currently developing low-latency contextual bandit and transformer-based recommendation pipelines at Amazon. He has led scalable training and inference workflows for multi-terabyte datasets, improved ad and content monetization (including a $4M uplift at Prime Video), and extended services to 220+ territories. With an MS in Data Science from Northeastern and hands-on experience across AWS, Spark/Hadoop, PyTorch, and BERT, he blends research (author of a weak supervision paper submitted to AMLC 2023) with practical deployment skills in observability and Go-based tooling. A former teaching assistant in NLP and mathematics, Ruthvik pairs strong technical mentorship with a knack for translating complex models into measurable business impact.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Electrical, Electronics and Communications Engineering, 8.5, Bachelor of Technology, Electrical, Electronics and Communications Engineering, 8.5 at Manipal Institute of Technology
Nanodegree, AI for trading, 4.0, Nanodegree, AI for trading, 4.0 at Udacity
Master of Science - MS, Data Science, 3.83/ 4.0, Master of Science - MS, Data Science, 3.83/ 4.0 at Northeastern University College of Computer and Information Science
Contributions:1 PR, 35 pushes, 7 branches in 2 months
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Ruthvik Ravindra - Machine Learning Engineer at Amazon