Summary
Avishek Parajuli is a seasoned computer vision and AI lead with 9 years of experience building production-ready machine vision systems for industrial and autonomous vehicle applications. He has progressed from embedded and algorithm roles to leading perception teams, combining deep expertise in C/C++, OpenCV, MATLAB/Simulink, and hardware-accelerated deep learning on embedded devices. At SICK and Einride he delivered 2D/3D segmentation, label localization, and perception stacks for conveyor and autonomous driving environments, and now leads CV/AI efforts at Booz Allen Hamilton. Comfortable bridging research and productization, he pairs classical image-processing intuition with modern deep-learning architectures (e.g., U-Net) to solve real-time constraints. Based in Boston, he also brings a background in embedded systems and vehicle modeling from his graduate work, which informs pragmatic system-level design decisions.
9 years of coding experience
13 years of employment as a software developer
Master of Science (MS) Computer vision/ Image Processing, Master of Science (MS) Computer vision/ Image Processing at Ohio University
Bachelor's in Engineering Electrical Electronics and Communications Engineering, Bachelor's in Engineering Electrical Electronics and Communications Engineering at Tribhuvan University, IOE, Pulchowk Campus
Computer Vision NanoDegree: https://confirm.udacity.com/N29AF7DL Computer Vision, Computer Vision NanoDegree: https://confirm.udacity.com/N29AF7DL Computer Vision at Udacity