Summary
Rohit Dulam is a data scientist and Ph.D. computer vision researcher with eight years of experience building deep learning solutions for salient object detection, contour detection, and medical image classification. He completed his doctorate at the University of Delaware and transitioned from multi-year research roles into applied work—most recently interning at Norfolk Southern to develop vision models that detect railcar defects and now working at Blyncsy. His portfolio blends rigorous academic publications and awards with practical deployment experience across diverse datasets, frameworks, and industry constraints. Rohit is skilled in Python and deep neural networks and has a track record of translating novel CV research into real-world systems, including safety-critical applications in rail operations. Notably, his background spans both foundational vision problems and domain-specific classification tasks, giving him a rare mix of theory-driven insight and production-focused pragmatism.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Vision, Doctor of Philosophy - PhD Computer Vision at University of Delaware
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Rochester
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at J.B.Institute of Engineering and Technology