Shuby Deshpande
Participant at Unknown Regions
United States
Summary
👤
Senior🎓
Top SchoolShuby Deshpande is an experienced software engineer and researcher with 11 years blending advanced ML research and production engineering across startups, academia, and national labs. They've led early engineering and tech‑lead efforts at Tools for Humanity, built object detection pipelines at Scale AI, and researched safe, sample‑efficient deep reinforcement learning and interpretability at Carnegie Mellon. Prior roles at JPL, Microsoft, TIFR and IIT Delhi show a pattern of turning complex physical and streaming systems into efficient neural and distributed implementations. Comfortable prototyping, scaling, and firefighting, Shuby brings both theoretical depth (Robotics at CMU, research fellowships) and hands‑on systems chops. A maker at heart—summed up by “Math ∩ Hacking = ❤”—they gravitate toward projects that sit at the intersection of math, safety, and real‑world deployment.
11 years of coding experience
4 years of employment as a software developer
Parkmont ElementaryCalifornia Institute of TechnologySchool of Computer Science Robotics, School of Computer Science Robotics at Carnegie Mellon University
English, Hindi, Marathi, Sanskrit
Github Skills (102)
python10
simulator10
deep-learning10
neural-network10
deep-reinforcement-learning10
data-science10
reinforcement-learning10
tensorflow10
machine-learning10
pandas9
ml9
carla9
openscenario9
computer-vision9
unreal-engine-49
Programming languages (9)
Github contributions (5)
bhaprayan/vim-colemak
Jan 2016 - Sep 2019
Contributions:7 pushes in 3 years 7 months
vimvim-pluginmappingsneovimcolemak
bhaprayan/keras-yolo3
Jun 2019 - Aug 2019
A Keras implementation of YOLOv3 (Tensorflow backend)
Contributions:78 pushes in 2 months
deep-learningobject-detectionyolov5backendtensorflow
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