Summary
Vignesh Radhakrishnan is a Senior Machine Learning Engineer with nine years of experience building distributed systems and production ML, currently leading RL fine-tuning and foundational model launches at Amazon. He has driven RL customization for Amazon Nova using PPO and spearheaded distributed training and deployment across SageMaker, Bedrock, and internal platforms. Prior work includes designing scalable Alexa experiences and large-scale distributed caching for weather alerts, demonstrating a blend of ML, systems engineering, and product-focused delivery. His background in C/C++ networking and MPLS control plane work adds deep systems and algorithmic rigor to ML engineering challenges. Based in College Station, Texas, he combines hands-on PyTorch and Nvidia NeMo expertise with software design and Java skills to bridge research and production. He’s notable for leading small cross-functional teams to ship high-impact features that move complex models into real-world usage.
8 years of coding experience
12 years of employment as a software developer
MS Computer Science, MS Computer Science at The University of Texas at Dallas
B.E Electronics and Communications, B.E Electronics and Communications at SSN College of Engineering