Nazar Ponochevnyi

Founder & CEO at Harmix
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Contact Information
Location
CA
Languages
  • Українська Native or bilingual proficiency
  • Русский Native or bilingual proficiency
  • English Full professional proficiency

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5.0

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Vitalii Ratyshnyi

I’ve had a chance to cooperate with Nazar on promising project called Harmix. Even though Nazar and the project in the beginning of the long windy road, the way he thinks always truly amaze me. Nazar has deep understanding of the field and incredibly wide vision on what he involved in. I would highly recommend to pay attention for Nazar as a rising star in AI for music industry.

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Credentials

  • Deep Learning Creator School from AI HOUSE
    AI HOUSE
    Dec, 2021
    - Oct, 2024
  • UF Incubator Startup School 2019/2020
    Ukrainian Future Incubator
    Aug, 2020
    - Oct, 2024
  • Теория игр (Game Theory)
    Coursera
    Jun, 2017
    - Oct, 2024
  • TOEFL iBT
    ETS
    Nov, 2022
    - Oct, 2024
  • English Proficiency Certificate
    Duolingo English Test
    Jun, 2022
    - Oct, 2024

Experience

    • Pharmaceutical Manufacturing
    • Founder & CEO
      • Sep 2018 - Present

      ● I developed, patented, and deployed a unique system that predicts harmonious music for the user's video. Tech stack: Python, Keras, TensorFlow, PyTorch, FastAPI, PostgreSQL, Milvus, Docker, Cortex (on AWS cluster), and Git; ● Decreased server video processing time by 87% using memoization, asynchronous, and multiprocessing programming; ● Mentored, led, and managed Mobile, API, and Chatbot teams (9 developers total) to create an MVP before the presentation deadline; ● Pitched the startup at TechCrunch Disrupt 2022 (USA), Intel ISEF 2019 (USA), Collision 2022 (Canada), SyncSummit 2023 (USA), and AIGC 2019 (Singapore); ● In 8 weeks of the Early Access stage, we obtained 30K+ users in 90+ countries. Then the company raised $525K+ in investments.

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Mitacs Globalink Research Intern
      • Jun 2022 - Sep 2022

      ● Researching with Prof. Anastasia Kuzminykh in the field of Multimodal Human-Computer Communication using state-of-the-art Deep Learning approaches. ● Researching with Prof. Anastasia Kuzminykh in the field of Multimodal Human-Computer Communication using state-of-the-art Deep Learning approaches.

    • Ukraine
    • Research
    • 1 - 100 Employee
    • Computer Vision Engineer
      • Jul 2021 - Aug 2021

      ● Designed an algorithm that counts soccer ball juggling as part of the 2021 Summer Computer Vision Internship; ● Implemented the system in Python and learned Kotlin basics in 2 weeks; ● Deployed the system to Android and pitched the project. Tech stack: Python, TFLite, PoseNet, EfficientNet, OpenCV, Kotlin, CameraX. ● Designed an algorithm that counts soccer ball juggling as part of the 2021 Summer Computer Vision Internship; ● Implemented the system in Python and learned Kotlin basics in 2 weeks; ● Deployed the system to Android and pitched the project. Tech stack: Python, TFLite, PoseNet, EfficientNet, OpenCV, Kotlin, CameraX.

Education

  • University of Toronto
    Visiting International Student, Computer Science
    2022 - 2023
  • National Technical University of Ukraine 'Kyiv Polytechnic Institute'​
    Bachelor's degree, Applied Mathematics
    2019 - 2023
  • Hochschule Anhalt
    Flexible exchange program, Computer Science and Languages
    2022 - 2022

Community

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