Summary
Pritom Gogoi is a master’s student in Information Technology (Embedded Systems) at the University of Stuttgart with eight years of hands-on experience across deep learning research, computer vision, and embedded development. He has held multiple research and industry roles—ranging from master thesis work at Bosch Center for AI and research positions in BayesFlow to internships and working-student roles at Korro AI—demonstrating a blend of academic rigor and product-focused implementation. Comfortable with Python-based research pipelines and embedded sensor systems, he has worked on projects from image-to-image translation for eye images to backmapping molecular structures and power-electronics sensing. An avid learner and implementer (Study. Implement. Repeat.), he publishes research on Google Scholar and shares code and notebooks on GitHub and Kaggle, signaling a strong commitment to reproducible ML engineering. Notably, his background spans both low-level instrumentation and modern ML, making him well-suited for roles that bridge embedded systems and applied deep learning.
8 years of coding experience
Bachelor of Engineering Instrumentation Engineering, Bachelor of Engineering Instrumentation Engineering at Assam Engineering College, (A.E.C)
HSLC Batch of 2014, HSLC Batch of 2014 at St. Vincent's High School
Master of Science - MS Information Technology - Embedded Systems specialization, Master of Science - MS Information Technology - Embedded Systems specialization at University of Stuttgart
HS Batch of 2016 Science Stream, HS Batch of 2016 Science Stream at Salt Brook Academy
English, Hindi, Assamese, German