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I'm an autonomous vehicle enthusiast building in the intersection between artifical intelligence and self-driving cars. Current: Member @Masason Foundation, also am leveraging CUDA to train better semantic segmentation models while also learning math on the side. Prev @tks.world where I worked with Shell, the United Nations, and Instacart. Also am one of the youngest certified self-driving car engineers in the world, was featured on Udacity for the work I'm doing. Email / Linkedin / Twitter / Github / Medium / CV / 2021 Annual Letter |
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My primary research interests are in the field of autonomous vehicles, more specifically towards computer vision for vision-based autonomy. You can find some of my projects in this space below. This is just an overview of the work I'm doing. For a full list, please check my Github. |
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February 2023 - Present Github Leveraging CUDA + OpenCV + PyTorch's C++ API (LibTorch) using TorchScript to run semantic segmentation at the highest FPS possible |
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January 2022 - February 2022 RL Article / Tweet Leveraged Reinforcement Learning algorithms to help train a self-driving agent to drive in a highway environment [using discrete controls]. |
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November 2021 - January 2022 Research Proposal / Tweet Used Deep Convolutional Networks to control self-driving steering, read more than 60 papers in the space, and met some really smart people from the wayve.ai + comma.ai team! |
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September 2021 - October 2021 Medium article / Github Using DC-GANs to create synthetic data that can be used to train + validate the robustness of autonomous vehicles. End goal is to apply to extrapolate the data pool we have for adverse driving scenarios/any situations where limited data is available. |
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July 2021 - August 2021 Project abstract / Github Implemented this paper from scratch with just my knowledge of Python and stackoverflow. Focusing on managing spatio-temporal image data for successful training of lane detection. Lanes don't change every single frame, so why can't we take in a few input frames and be able to successfully predict lane lines? Note: Github repository is not up to date as I have been unable to locate some of the files as part of training but the ConvLSTM model and training loop is created (and formatted nicely!). |
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May 2021 Medium article / Certificate / Github Used my knowledge throughout the Udacity Self-Driving Nanodegree [from perception and sensor fusion of LiDAR and radar sensors to polynomial trajectory generation] to create my capstone project; an autonomous vehicle capable of driving in simulation (using waypoitns). |
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