Summary
Koustabh Dolui is a Senior Machine Learning Engineer and PhD-trained researcher with a decade of experience building resource-constrained, distributed ML/AI systems across the edge-cloud continuum. He has a strong track record of turning academic research into practical IoT and predictive maintenance deployments through collaborations with industry partners such as Philips, Nokia Bell Labs, and Clearfacts (Wolters Kluwer). His expertise spans edge model deployment, federated learning, privacy-preserving blockchains, and IoT gateways—work rooted in his PhD at KU Leuven and hands-on contributions to European H2020 projects. Known for bridging theory and production, he combines systems-level thinking with applied telecommunications training from Politecnico di Milano to deliver efficient, scalable solutions for remote monitoring.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at KU Leuven
Secondary School, 92%, Secondary School, 92% at Bidhannagar Municipal School
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 8.55/10, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 8.55/10 at St. Thomas' College of Engineering and Technology
Higher Secondary School, Physics, Chemistry, Mathematics, Statistics, 81%, Higher Secondary School, Physics, Chemistry, Mathematics, Statistics, 81% at Bidhannagar Govt. High School
UPC Universitat Politècnica de Catalunya
Master of Science (M.S.), Telecommunications Engineering, 110/110, Master of Science (M.S.), Telecommunications Engineering, 110/110 at Politecnico di Milano
English, Bengali, Hindi, Italian