Shlok Agarwal
Deep Learning Engineer at NVIDIA
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolShlok Agarwal is a Deep Learning Engineer with nine years of multidisciplinary experience building perception, control, and autonomy systems for robotics and large-scale ML at NVIDIA and in academic labs. He combines hands-on deep learning and computer vision work (PyTorch, TensorFlow, OpenCV) with robotics control and embedded systems expertise developed at Virginia Tech, Ghost Robotics, and in NASA-focused student projects. His background spans industry internships at Apple, USC ISI, and NVIDIA to graduate research at the University of Michigan, giving him a rare bridge between production ML engineering and research-driven robotic autonomy. He led a 40-person team to prototype an autonomous ice-drilling robot for NASA competitions, illustrating both technical depth and program leadership. Based in Sunnyvale, he focuses on turning perception models into reliable, low-level control behaviors—often integrating multimodal sensors (LiDAR, motion, force) to close the loop between learning and real-world robot actions.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Electrical Engineering and Computer Science, Master of Science - MS Electrical Engineering and Computer Science at University of Michigan College of EngineeringBachelors Electrical and Computer Engineering, Bachelors Electrical and Computer Engineering at Virginia Tech College of Engineering
Github Skills (3)
robotics5
hosts5
codebase4
Programming languages (1)
Github contributions (5)
shlok-agarwal/AdvancedLaneDetector
Jan 2021 - Apr 2021
Contributions:31 pushes in 3 months
shlok-agarwal/CarND-Behavioral-Cloning-P3
May 2021 - May 2021
Starting files for the Udacity CarND Behavioral Cloning Project
Contributions:32 pushes in 16 days
cloningbehavioralbehavioral-cloningudacity
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