Amey Kulkarni
Senior Hardware Engineer at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolAmey Kulkarni is a Senior Hardware Engineer based in California with seven years of focused VLSI experience and a prior decade-plus track record in custom memory and low-power circuit design. He has led low-power circuit and physical design work across advanced nodes from 45nm planar to 7nm FinFET, designing custom CAMs, 6T/8T SRAM arrays and high-performance arithmetic blocks for Qualcomm and NVIDIA. His expertise spans floorplanning, placement, routing, CTS and timing closure, plus power/signal integrity and IR/EM reliability analysis, and he has served as a go-to for functional verification methodology with Synopsys ESPCV. At NVIDIA he continues to bridge system-level needs with silicon implementation, and his open-source contributions include improving data collection and instructional clarity for an educational Jetson Nano robot project. Known for combining hands-on tapeout experience with practical verification and methodology skills, he brings a pragmatic yet research-informed approach to complex SoC challenges.
7 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.), Electrical Engineering, GPA 3.3, Master of Science (M.S.), Electrical Engineering, GPA 3.3 at University of Michigan, Ann ArborUniversity College London
Github Skills (5)
computer-vision10
pytorch10
machine-learning10
data-collection10
jupyter-notebook9
Programming languages (3)
Github contributions (5)
NVIDIA-AI-IOT/jetbot
Mar 2019 - May 2019
An educational AI robot based on NVIDIA Jetson Nano.
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 13 commits, 4 PRs in 1 month
Contributions summary:Amey contributed to the "jetbot" repository, which is an educational AI robot project. Their primary focus was on developing the data collection process for a road-following task. The user added descriptions to the notebooks, improving their clarity and instructional value. They also provided guidance on data collection strategies, emphasizing the importance of varied backgrounds and balanced data for effective model training.
nvidia-jetson-nanoroboticspythonjetsonjetson-nano
NVIDIA-AI-IOT/face-mask-detection
Aug 2020 - Oct 2020
Face Mask Detection using NVIDIA Transfer Learning Toolkit (TLT) and DeepStream for COVID-19
Contributions:20 commits, 13 pushes, 41 comments in 2 months
face-mask-detectionnvidia-dockermasknvidiadeepfake
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