Summary
Niloy Saha is a Doctoral Researcher at the University of Waterloo specializing in AI-driven management and telemetry for 5G/6G and software-defined networks, with eight years of research experience spanning academia and industry. He builds full-stack testbeds that combine programmable data planes (Intel Tofino/P4), Kubernetes-based 5G cores, and ML pipelines to deliver SLA-aware slice monitoring, QoS anomaly detection, and closed-loop automation. His work bridges theory and practice—publishing on slice monitoring and collaborating with Rogers and Expeto on a campus private 5G deployment and executive training—demonstrating an aptitude for translating research into operational systems. Trained at IIT Kharagpur and experienced in SDN for IoT and telemedicine, he brings a systems-first mindset to cloud-native orchestration and network telemetry. Notably, he integrates high-precision in-network telemetry with ML-driven orchestration to enable scalable, autonomous network operations.
9 years of coding experience
2 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at Indian Institute of Technology Kharagpur
South Point School
Bachelor of Technology, Electronics and Communications Engineering, Bachelor of Technology, Electronics and Communications Engineering at Institute of Engineering & Management (IEM)
High School Degree, Science, High School Degree, Science at South Point High School, Kolkata
Doctor of Philosophy, Computational Science, Doctor of Philosophy, Computational Science at University of Waterloo
English, Bengali, Hindi