Summary
Surya Ganesh is a systems-focused Software Engineer with 10 years of experience designing and shipping high-performance, privacy-first ML and distributed systems. He has built production federated learning platforms and edge ML SDKs that scaled to 100M MAU customers, managed 20K req/s peaks and 50M daily inferences, and converted cutting-edge FL research into maintainable deployments. His background spans privacy engineering, differential privacy, and secure aggregation, complemented by hands-on work optimizing Kubernetes services, data governance engines, and Rust-based OSS data versioning. Surya pairs research-driven curiosity (MS in Privacy Engineering from CMU) with pragmatic engineering, having led migrations, low-latency optimizations, and enterprise rollouts with zero-downtime constraints. Colleagues rely on him for turning complex privacy and performance requirements into robust, production systems—often revealing scalable patterns from academic papers that others miss.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Information Technology - Privacy Engineering, Master of Science - MS, Information Technology - Privacy Engineering at Carnegie Mellon University School of Computer Science
Bachelor of Engineering - BE, Electronics and Instrumentation, Bachelor of Engineering - BE, Electronics and Instrumentation at Anna University Chennai