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Machine learning and computer vision enthusiast! I work on implementing deep learning (mainly convolution neural networks) algorithms on the embedded vision platforms.
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Autopilot EngineeringTeslaCalifornia, United States -
Staff Autopilot EngineerTesla Jul 2021 - PresentAustin, Texas, Us
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Sr Autopilot EngineerTesla Sep 2018 - Jul 2021Austin, Texas, Us
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Principal Design EngineerCadence Design Systems Jun 2018 - Sep 2018San Jose, California, Us -
Lead Design EngineerCadence Design Systems Jul 2014 - Jun 2018San Jose, California, UsDSP Software Group (Current): o Develop optimized convolution neural networks (CNN) library for classification, semantic segmentation, object detection etc. on Tensilica VisionP6 (VLIW-SIMD architecture) DSP o Development of optimized ResNet, GoogleNet, AlexNet, FCN, SegNet by using optimized libraries for performance estimation o Python NumPy based simulation of the vectorized (SIMD) inference approach to first check bit exactness of the implementation techniques o Reading all recent Computer Vision-CNN based research papers to get familiar with the current advancement to incorporate it in the CNN library. Creating APIs for the new layers and leading the team for its implementation o Suggest processor instruction set architecture (ISA) changes to the architecture design team based on the observations from library developmentDSP Hardware Group: o Power analysis on Tensilica DSPs by running different architecture and ISA level experiments. Building Embedded DSP processors using Cadence® Tensilica® processor generation tools and create new software tests for system-level verification and created a tool to generate SIMD configurable user guides and ISA information in the HTML format.
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Graduate Research AssistantGeorgia Institute Of Technology Aug 2012 - May 2014Atlanta, Georgia , UsDesign of Stack Filters for Image Noise Removal using Visual Differences Prediction Algorithm. Environment: MATLAB, OpenCVThe present approach to the MAE-based design of stack filters for image restoration does not always produce the desired visual result. Thus, a new stack filter design algorithm is developed. It is based upon a Weighted Mean Absolute Error (WMAE) criterion instead of the traditional MAE criterion that assigns the same weights to all errors. The weights in the WMAE criterion are designed with the Visible Diflerences Predictor (VDP), which can estimate the sensitivity of the human visual system to changes in images. Experiments with this WMAE approach show that the stack filters it produces perform significantly better in image processing applications than those designed with the MAE approach. -
Graduate Teaching AssistantGeorgia Institute Of Technology Aug 2013 - Apr 2014Atlanta, Georgia , Us(Vertically Integrated Projects - ECE 481X)a) Help students learn MATLAB and CCS for Building and Deploying a Wireless Sensor Network in the Georgia Tech Stadium. Environment: Embedded C, MATLABMy job is to help student learn MATLAB and Code Composer Studio (by Texas Instruments) so that they can use it for the project of Wireless Sensor Network deployment in Georgia Tech Football Stadium. For this I have designed various Lab assignments which will give them more insights of these tools used for simulation and emulation.
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Graduate Research AssistantGeorgia Tech Research Institute Jan 2013 - Aug 2013Atlanta, Georgia, Usa) Cone Line Bone Detection for Chicken ImagesEnvironment: OpenCV (C++)Developing image processing segmentation algorithms that can segment the meat, bone and the fat part of the chicken meat images. -
InternCenter For Artificial Intelligence And Robotics Jan 2011 - Feb 2011Trained in the basic Signal Processing Algorithms while working on the project “Robot-Sentry”. This robot is capable of autonomous navigation in semi-structured environments, with obstacle avoidance capability.
Sumit Joshi Skills
Sumit Joshi Education Details
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Georgia Institute Of TechnologyElectrical And Computer Engineering -
University Of MumbaiElectrical And Electronics Engineering
Frequently Asked Questions about Sumit Joshi
What company does Sumit Joshi work for?
Sumit Joshi works for Tesla
What is Sumit Joshi's role at the current company?
Sumit Joshi's current role is Autopilot Engineering.
What is Sumit Joshi's email address?
Sumit Joshi's email address is sj****@****nce.com
What is Sumit Joshi's direct phone number?
Sumit Joshi's direct phone number is +167881*****
What schools did Sumit Joshi attend?
Sumit Joshi attended Georgia Institute Of Technology, University Of Mumbai.
What are some of Sumit Joshi's interests?
Sumit Joshi has interest in Ice Skiing, Squash, Cricket.
What skills is Sumit Joshi known for?
Sumit Joshi has skills like Python, Matlab, Image Processing, C, C++, Opencv, Perl, Digital Signal Processing, Digital Signal Processors, Verilog, Linux, Xilinx Ise.
Who are Sumit Joshi's colleagues?
Sumit Joshi's colleagues are Yahly Golan, Stephanie Brereton, Hyemi Kang, Vishwa Madhushanka, Denison Rice, Lewis Guy, Julius Mbatha.
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