John Viguerie

John Viguerie Email and Phone Number

Computer Vision, Deep Learning, GenAI Dev-Arch @ Centific
John Viguerie's Location
Biloxi, Mississippi, United States, United States
John Viguerie's Contact Details

John Viguerie personal email

About John Viguerie

Experienced in pursuing novel use cases in 2D/3D spatial computing, AR/VR, perception, computer vision, deep learning & machine learning solutions.Experienced in leading the investigation and evaluation of neural network models and frameworks for complex tasks, prototyping and authoring production systems, and optimizing neural network models for datacenter and edge deployment. Skilled at architecture and tool chain design and GPU and ML acceleration hardware, heterogeneous computing and co-design for datacenter/cloud and edge deployment.Builder of CV and inference workflows for HD/UHD multicamera systems including lens and image sensor hardware, CV & DL software libraries & frameworks, and acceleration architectures.Exploiting the capabilities of AI technology for computer vision, image & video processing, scene perception and understanding, and generative AI with deep learning, convolutional neural networks and transformer neural networks...

John Viguerie's Current Company Details
Centific

Centific

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Computer Vision, Deep Learning, GenAI Dev-Arch
John Viguerie Work Experience Details
  • Centific
    Sr. Nvidia Solutions Architect
    Centific Sep 2024 - Present
    Redmond, Washington, Us
    Authoring solutions in Computer Vision, Deep Learning and GenAI use cases leveraging NVIDIA SDK's, libraries and tools like DeepStream, Metropolis, VIA, NIM, RIVA, NeMo, TensorRT and Triton.
  • Dvs Baseball
    Sr Computer Vision & Deep Learning Dev-Arch
    Dvs Baseball Feb 2023 - Aug 2024
    Midlothian, Virginia, Us
    Engineering and development of a multicamera motion capture system to capture, analyze, visualize and score the biomechanical efficiency and injury risk of elite professional Major & Minor League baseball pitchers as well as elite amateur College and High School pitchers. The solution uses Computer Vision and Deep Learning to automate the evaluation of high-speed and high framerate UHD synchronized video to predict an accurate biomechanical model of elite athletic motion.- Testing and verification of a multicamera system for markerless motion capture using 120/240 frames-per-second UHD video.- Accuracy and precision testing for photogrammetry features including depth calculation.- Programming calibration features including verification and adjustment.
  • Verizon Wireless World
    Sr Computer Vision & Deep Learning Dev-Arch
    Verizon Wireless World Sep 2021 - Oct 2022
    New Milford, Nj, Us
    Sr Dev-Arch of a multicamera solution to capture, track and analyze basketball competition. Computer Vision and Deep Learning workflow authoring and development using OpenCV, TorchVision (Pytorch), UHD video for Object Detection and Tracking, Homography, Photogrammetry, Image and Object Segmentation and Masking, Instance Segmentation and Camera Calibration for challenging use cases in Sports Video. Automated dataset generation and annotation, camera and lens optimization, 2D to 3D translation, scene understanding, model training and testing, GPU acceleration and performance tuning.
  • Pitchstar.Ai
    Computer Vision & Deep Learning Architecture And Development
    Pitchstar.Ai Dec 2018 - Nov 2021
    Concept, solution architecture and development for multicamera capture, analysis, automation and enhancement for Computer Vision and Deep Learning enabled technology in baseball training and skills improvement.
  • Glucorecs
    Sr Product Designer/Dev-Arch
    Glucorecs Jan 2014 - Dec 2018
    Glucorecs aims to help Patients managing Diabetes and related conditions. Glucorecs has patents and preclinical trial validation results for Non-Invasive Blood Glucose Measurement (BGM) technology. Glucorecs' solutions aim to relieve patients' pain from frequent "Bleed & Read" testing for monitoring glucose levels. The GluFit portable device uses RF/Microwave Digital Signal Processing and a novel bio-sensor to painlessly detect blood sugar/glucose levels to aid management of Type 2 diabetes and Insulin Resistance.

John Viguerie Skills

Entertainment Computing Start Up Ventures Network Services Entrepreneurship Telecommunications Cloud Computing Strategic Partnerships Mobile Devices Product Management Online Advertising Business Development Start Ups Digital Media Integration Mobile Technology Digital Marketing Content Strategy New Business Development E Commerce Saas Product Development Mobile Applications New Media Online Marketing Leadership Strategy Mobile Marketing

John Viguerie Education Details

  • Southern Methodist University
    Southern Methodist University
    Electrical Engineering - Digital Computer Systems
  • Louisiana School For Math, Science & The Arts
    Louisiana School For Math, Science & The Arts
    Math-Science

Frequently Asked Questions about John Viguerie

What company does John Viguerie work for?

John Viguerie works for Centific

What is John Viguerie's role at the current company?

John Viguerie's current role is Computer Vision, Deep Learning, GenAI Dev-Arch.

What is John Viguerie's email address?

John Viguerie's email address is jo****@****hoo.com

What schools did John Viguerie attend?

John Viguerie attended Southern Methodist University, Louisiana School For Math, Science & The Arts.

What skills is John Viguerie known for?

John Viguerie has skills like Entertainment, Computing, Start Up Ventures, Network Services, Entrepreneurship, Telecommunications, Cloud Computing, Strategic Partnerships, Mobile Devices, Product Management, Online Advertising, Business Development.

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