Shashank Goyal is a Robotics R&D Engineer with eight years of experience blending academic research and product-focused innovation in robotics and AI. With dual MS degrees in Computer Science and Robotics from Johns Hopkins, he has built modular robot architectures, real-time control pipelines for surgical and manipulation platforms, and sensory perception stacks for humanoid teleoperation. His work spans machine learning, deep neural networks, ROS2, and sensor fusion, and he led a Johns Hopkins team to a top-five national finish in NASA’s Lunar Autonomy Challenge. At ARTPARK he shipped binaural audio and phoneme-based perception and a plug-and-play teleoperation stack for dexterous arms, and he continues to translate research prototypes into deployable systems at Qualcomm. Notably, he combines curriculum development and hands-on mentoring with research, having authored ROS2 guides and taught AI to large student cohorts while earning teaching nominations.
8 years of coding experience
5 years of employment as a software developer
BTech - Bachelor of Technology Computer Science, BTech - Bachelor of Technology Computer Science at Manipal Institute of Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Johns Hopkins Whiting School of Engineering
Physics Chemistry Mathematics Computer Science and English, Physics Chemistry Mathematics Computer Science and English at St.Columba's School, New Delhi
This project aims at playing the game of Tetris using Genetic Algorithm
Contributions:3 PRs, 8 pushes, 1 branch in 2 years 6 months
pythongamegeneticpygamegame-of
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