Yash Vardhan
Senior Deep Learning Engineer at NVIDIA
California, United States
Summary
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Senior🎓
Top SchoolYash Vardhan is a Senior Deep Learning Engineer with a decade of experience specializing in deployable AI for autonomous vehicles, currently architecting low-latency, safety-constrained perception networks at NVIDIA in California. He combines research in quantization-aware training and neural architecture search with hands-on production work—driving strict TensorRT/DLA conversion error bounds and SoC latency targets for AV DNNs. Previously he led NAS and multi-task co-training efforts for object detection and path perception, and is a lead contributor to NVIDIA’s retinanet-examples toolkit. Trained at the University of Pennsylvania, he blends academic rigor with production engineering and a keen focus on inference-time optimization that bridges research prototypes to certified deployment.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Birla Institute of Technology, MesraMaster of Science in Engineering Computer & Information Science, Master of Science in Engineering Computer & Information Science at University of Pennsylvania
English, German, Hindi
Github Skills (33)
python10
machine-learning10
deep-learning10
gpu10
numpy9
dataframe9
tensorflow9
neural-network9
cpp9
rapids9
cuda9
opencl8
data-analysis8
gpu-acceleration8
pandas8
Programming languages (7)
Github contributions (5)
yashv28/Color-Segmentation-using-GMM
Feb 2018 - Mar 2018
Contributions:8 commits, 7 pushes, 1 branch in 14 days
yashv28/Orientation-Estimation-using-Unscented-Kalman-Filter
Mar 2018 - Mar 2018
Contributions:23 commits, 20 pushes, 1 branch in 5 days
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