Summary
Shobhit Kotnala is a junior developer and master's student in Computer Engineering (AI, Vision and Sound) based in Aalborg, Denmark, bringing eight years of industry and research experience across AI, computer vision, acoustics, and software engineering. He has combined applied research—publishing at PRAI and exploring Bayesian uncertainty in graph neural networks—with hands-on product work, including real-time speech enhancement on Android and firmware-adjacent development at Trackman and Samsung. Comfortable across multiple languages and deployment targets, he focuses on reliable, uncertainty-aware models that bridge lab prototypes and industry constraints. His work on peatland mapping and CO2 estimation highlights an unusual blend of environmental application and deep learning rigor. Collaborative by nature, he partners effectively with industry teams to turn novel research into practical solutions.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Engineering: AI, Vision and Sound, Master's degree, Computer Engineering: AI, Vision and Sound at Aalborg University
Bachelor of Engineering, Electrical, Electronics and Communications Engineering, Bachelor of Engineering, Electrical, Electronics and Communications Engineering at Netaji Subhas Institute of Technology
English, Hindi