Tarek Dakhran

Staff Software Engineer at Recogni
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Munich Metropolitan Area, DE
Languages
  • English Professional working proficiency
  • German Elementary proficiency

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Bio

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5.0

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Diego Havenstein

Tarek is an exceptionally skilled engineer. Solid theoretical background, communication and leadership talent, and outstanding problem solving skills. A real pleasure to work with him

Youssri Helmy

Tarek is one of the best optimization engineers I ever met. He's brilliant and has high integrity. I'd love to work with him again.

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Credentials

  • Motion Planning for Self-Driving Cars
    Coursera
    Aug, 2020
    - Nov, 2024
  • Self-Driving Cars Specialization
    Coursera
    Aug, 2020
    - Nov, 2024
  • Visual Perception for Self-Driving Cars
    Coursera
    Aug, 2020
    - Nov, 2024
  • Introduction to Self-Driving Cars
    Coursera
    Jul, 2020
    - Nov, 2024
  • State Estimation and Localization for Self-Driving Cars
    Coursera
    Jul, 2020
    - Nov, 2024
  • The Rust Programming Language
    Udemy, Inc.
    Jun, 2020
    - Nov, 2024
  • Искусство разработки на современном C++ Specialization
    Coursera
    Aug, 2019
    - Nov, 2024
  • Основы разработки на С++: черный пояс
    Coursera
    Aug, 2019
    - Nov, 2024
  • Основы разработки на С++: коричневый пояс
    Coursera
    Jul, 2019
    - Nov, 2024
  • Основы разработки на C++: жёлтый пояс
    Coursera
    Oct, 2018
    - Nov, 2024
  • Основы разработки на C++: красный пояс
    Coursera
    Oct, 2018
    - Nov, 2024
  • Основы разработки на C++: белый пояс
    Coursera
    Sep, 2018
    - Nov, 2024
  • Algorithms: Design and Analysis, Part 1
    Coursera Course Certificates
    Sep, 2016
    - Nov, 2024

Experience

    • United States
    • Computer Hardware Manufacturing
    • 1 - 100 Employee
    • Staff Software Engineer
      • Jul 2022 - Present

      I am currently a Staff Software Engineer at Recogni, a pioneering company revolutionizing the AI hardware landscape. Recogni has developed the world's first Peta-Op class inference solution, redefining the capabilities of object detection in autonomous vehicles. Our advanced hardware platform enables superhuman object detection accuracy of up to 1000m in real-time, even in challenging road and environmental conditions. By leveraging the power of our cutting-edge hardware, we process multiple streams of ultra-high resolution and high frame rate cameras. As a key member of the software engineering team, I contribute to optimizing software performance and developing algorithms that seamlessly integrate with Recogni's state-of-the-art AI hardware. Show less

    • United States
    • Software Development
    • 1 - 100 Employee
    • Software Team Lead
      • Sep 2020 - Jun 2022

      Localization and Relocalization for vehicles and robots. As a Team Lead of software team, responsible for planning and delivery of the scope of the sprint, dependencies handling, and alignment with hardware team and CTO. I introduced and integrated an end-to-end process to plan, analyze, develop, test, and release features. Also introduced the process to grow leadership competencies in the team by delegating part of team lead responsibility. As technical expert responsible for software architecture and design. Introduced explicit analysis stage before development. Developed and integrated packaging, distribution, and update mechanisms for software. Continuously improving development tools and sharing knowledge with the team. Show less

    • Germany
    • Motor Vehicle Manufacturing
    • 1 - 100 Employee
    • Senior Software Engineer
      • Jan 2020 - Jul 2020

      Developed Software Update over the air (OTA) for the testing fleet. Software Update framework includes packages building from source code, publishing, storage of packages in the cloud, fleet management, and onboard framework to update functional software. AID now is Argo AI. Developed Software Update over the air (OTA) for the testing fleet. Software Update framework includes packages building from source code, publishing, storage of packages in the cloud, fleet management, and onboard framework to update functional software. AID now is Argo AI.

    • United States
    • Software Development
    • 1 - 100 Employee
    • Senior Software Engineer
      • Nov 2018 - Nov 2019

      Startup bring up. Introduced CI, code style, development processes. Ported localization algorithm to an embedded platform. Optimized for performance. Developed userspace driver for custom Mobile Mapping System (MMS). Artisense was acquired by Kudan (https://www.kudan.io/archives/157). Startup bring up. Introduced CI, code style, development processes. Ported localization algorithm to an embedded platform. Optimized for performance. Developed userspace driver for custom Mobile Mapping System (MMS). Artisense was acquired by Kudan (https://www.kudan.io/archives/157).

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Senior Software Engineer
      • Jan 2017 - Oct 2018

      Developed high-performance CUDA optimized library for computer vision and autonomous driving applications. Eonite was acquired by MobilEye (https://www.crunchbase.com/acquisition/mobileye-vision-technologies-acquires-eonite-perception-inc--afc10040#section-overview). Developed high-performance CUDA optimized library for computer vision and autonomous driving applications. Eonite was acquired by MobilEye (https://www.crunchbase.com/acquisition/mobileye-vision-technologies-acquires-eonite-perception-inc--afc10040#section-overview).

    • Leading Mobile Solutions Optimization Engineer
      • Apr 2016 - Dec 2016

      Optimize 3D SLAM algorithms to achieve high performance on ARM CPU/GPU.

    • Leading Compiler Engineer
      • Jun 2015 - Apr 2016

      Lightweight High Performance JavaScript Engine for IoT.JIT compiler for JavaScript engine Development.

    • System Software Engineer
      • Mar 2013 - Jun 2015

      Board Support Package (BSP) for ARM big.LITTLE Exynos 5410 SoC.HMP Enabling on ARM big.LITTLE Exynos 5410 SoC.High Performance Process Scheduling for big.LITTLE Architecture for DTV.30 FPS UHD Heterogeneous Video Decoder for ARM big.LITTLE (4 x Cortex-A15 + 4 x Cortex-A7 + Mali-T620MP4)

Education

  • Lomonosov Moscow State University (MSU)
    Master of Science (M.S.), Mathematics
    2008 - 2013

Community

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