Shashank Goyal
Baltimore, Maryland, United States
Summary
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SeniorShashank 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
Github Skills (22)
ide9
arduino-ide8
arduino8
sparkfun8
tetris7
flash6
imu6
genetic-algorithm6
reimplementation5
pygame5
knapsack-problem5
firmware4
rust4
reinforcement-learning3
machine-learning3
Programming languages (7)
Github contributions (5)
shashank3199/VisioNxN-Sudoku
Sep 2020 - Oct 2021
Contributions:5 commits, 2 pushes, 1 branch in 1 year 1 month
shashank3199/GeneticAlgorithm-ZeroOneKnapsack
Oct 2020 - Sep 2021
This project aims to solve the famous 0-1 Knapsack Problem using various versions of Genetic Algorithm.
Contributions:34 commits, 10 PRs, 13 pushes in 11 months
genetic-algorithmknapsack-problem
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