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Mohammadou Gningue profile image

Mohammadou Gningue

Software Engineer Intern at Adaviv
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Software engineer with experience in IoT, web development, and autonomous vehicles.
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New York, New York, United States, US
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Mohammadou Gningue is a seasoned software engineer with experience in full-stack web development, IoT, and autonomous vehicles. He has contributed to projects such as Adaviv's Field Lite app, Cambridge Mobile Telematics' remote datalogger device, and General Motors' autonomous vehicle safety model. He holds a Bachelor of Science degree in Electrical Engineering and Computer Science from MIT.

Experience

  • Adaviv
    • Cambridge, Massachusetts, United States
    • Software Engineer Intern
      • Jun 2023 - Aug 2023
      • Cambridge, Massachusetts, United States

      - Contributed to the development of Adaviv's app, "Field Lite," in React Native, enabling farmers to accurately identify and differentiate healthy plants from those with issues within their crop fields, optimizing agricultural management- Leveraged AWS Lambda functions to design and implement a custom authentication workflow encompassing user login, password reset, and one-time password services- Implemented a Golang-based algorithm to optimize task allocation for multiple large client farms (200+ workers) by factoring in worker schedules, speed, task duration, and location

  • Cambridge Mobile Telematics
    • Cambridge, Massachusetts, United States
    • IoT Intern
      • Jun 2022 - Aug 2022
      • Cambridge, Massachusetts, United States

      - Developed a remote datalogger device attached to all CMT’s DriveScape Camera to log crucial data from processors- Programmed in Python, used Linux, udev, systemd, and Linux IoT firmware tools to log Ambarella and PSoC processor data from DriveScape Camera- Programmed LTE Connectivity to remotely post logs to private back-end database- Programmed private back-end database for sending received logs to AWS S3 Database- Used independent mini-UPS supply to capture logs of crucial bootup and shutdown DriveScape Camera processes- Made a kernel build for the software to automatically run on all Qualcomm Dragonboard embedded devices attached to DriveScape Cameras

  • General Motors
    • Detroit, Michigan, United States
    • General Motors Global Vehicle Safety
      • Jun 2021 - Aug 2021
      • Detroit, Michigan, United States

      - Developed a prototype prediction model of unsafe vehicle motions in Matlab and Simulink to be used in the production of GM SuperCruise and Ultracruise autonomous vehicles- Analyzed autonomous driving and signal data using ETAS MDA to detect edge cases for unsafe vehicle motions- Tested and tuned model using data from different road events to improve robustness- Researched and implemented signal processing algorithms under GM Ultracruise mentor to improve prototype efficiency

Education

  • 2019 - 2024
    Massachusetts Institute of Technology
    Bachelor of Science - BS, Electrical Engineering and Computer Science
  • 2015 - 2019
    Bronx High School of Science

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