Abhish Khanal
Cypress, California, United States
Summary
👤
Senior🎓
Top SchoolAbhish Khanal is a CS PhD candidate and Graduate Research Assistant at George Mason University with nine years of hands-on experience in robotics, embedded systems, and sequential decision-making under uncertainty. His research focuses on planning under uncertainty, POMDPs, and multi-agent systems, while his industry work includes developing MAVLink Python APIs, custom ArduPilot flight modes, and simulation of fixed-wing vehicles in Gazebo/ROS. He has a strong embedded background from building life-impacting devices like a neonatal baby warmer and delivery-drone hardware, and taught courses from low-level programming to machine learning. Comfortable bridging research and productization, he combines rigorous algorithmic thinking with practical systems engineering and field-deployable solutions.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Electronics and Communication Engineering, Bachelor's degree, Electronics and Communication Engineering at Institute Of Engineering, Pulchowk Campus,NepalDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at George Mason University
Nepali, English, Hindi
Github Skills (28)
robotics10
autopilot10
mavlink10
plane10
rover10
github-pages10
jekyll10
jekyll-theme10
arduino10
ros10
px49
dronekit9
acoustics6
zigbee5
audio5
Programming languages (7)
Github contributions (5)
aabs7/pymavlink_tutorial
Aug 2020 - Jan 2021
Contributions:28 commits, 16 pushes, 1 branch in 5 months
RAIL-group/rail_robot
Feb 2025 - Jul 2025
ROS2 package for RAIL Group's LoCoBot
Contributions:2 PRs, 46 pushes, 11 branches in 5 months
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