Summary
Abinav Ravi is a Senior Machine Learning Engineer with 8 years of experience and an MS in Computational Science and Engineering from TUM, focused on building production-grade MLOps and cloud-native ML systems. He has a strong track record re-architecting GPU-accelerated pipelines into scalable microservices, boosting throughput by up to 20% and reducing latency through bottleneck-aware resource allocation and batching. At ACV Auctions he also improved OCR extraction accuracy from 79% to 97% using generative AI approaches, and previously refactored SDKs and feature stores at TurboML to simplify developer workflows. His background spans AWS Lambda, Terraform, Python, deep learning for medical imaging, and feature-store engineering, with a pragmatic bent toward workshops, demos, and POCs that drive adoption. Based in Chennai, he combines hands-on implementation with stakeholder-focused delivery and a habit of surfacing operational improvements that aren’t obvious from model metrics alone.
8 years of coding experience