Suyog Jadhav is a PhD Fellow and Senior Engineer at UiT The Arctic University of Norway with eight years of hands-on experience in computer vision, explainable and applied AI, and end-user software development. He combines academic research—working in the Bio-AI Lab and on projects like NanoVision and MusiCloud—with practical R&D, including real-time edge inference for autonomous vehicles and deep-learning pipelines for microscopy and medical imaging. His background spans leadership roles in university AI labs, industry internships developing production-ready Flask backends and TensorRT-optimized inference, and published research submitted to journals in optics and neural networks. Based in Tromsø, he has a strong foundation from IIT (ISM) Dhanbad and an MS in Computer Science from UiT, and he frequently bridges simulation-driven training with experimental data to tackle data-scarce problems. Notably, he has translated complex microscopy and nanoscopy workflows into end-to-end deep learning pipelines, demonstrating both domain depth and engineering pragmatism.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, A, Master of Science - MS, Computer Science, A at UiT- The Arctic University of Norway
Self-Paced Learning, Computer Science, Self-Paced Learning, Computer Science at Coursera
Self-Paced Learning, Computer Science, Self-Paced Learning, Computer Science at Udacity
11th &12th Std., Science, A, 11th &12th Std., Science, A at Progressive Education Society's Modern College of Arts, Science and Commerce, Shivajinagar, Pune
Bachelor's degree, Electronics and Communication Engineering, 8.2/10, Bachelor's degree, Electronics and Communication Engineering, 8.2/10 at Indian Institute of Technology (Indian School of Mines), Dhanbad
6th-10th Std., Science, A+, 6th-10th Std., Science, A+ at Jawahar Navodaya Vidyalaya, Pune
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