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  1. Freelancers

Mihaylo Petrikei

Intelligent technologies that change the world.
Offer Mihaylo work on your next project.

Ukraine Kremenchug, Ukraine
4 months 28 days back
Available for hire available for hire
on the service 1 year
Freelancer Mihaylo P. — Ukraine, Kremenchug. Core skill — AI & Machine Learning, Python

Rating

Successful projects
No data
Average rating
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Rating
376
AI & Machine Learning
138 place out of 2877
Python
386 place out of 4485

Language proficiency level

Українська Українська: fluent
Русский Русский: fluent
English English: upper-intermediate
Español Español: elementary
Português Português: elementary

CV

Hello! My name is Mykhailo Petrikei — I’m a young developer from Ukraine specializing in intelligent systems using computer vision, artificial intelligence, and neural networks. I have experience building both local and cloud solutions with graphical user interfaces, real-time image/video processing, and voice control.

🏆 Achievements:

  • 2nd place (overall) at the All-Ukrainian Junior Academy of Sciences research competition (JASU)

  • Represented Ukraine at GENIUS Olympiad (USA, silver), Mostratec (Brazil), KIDE Expo (Taiwan, bronze + special award), INTARG (Poland, silver)

  • Participant of the Sakura Science Exchange Program (Japan)

🎯 What I can do for you:

  • Develop an end-to-end AI system

  • Build a model and train it

  • Create a desktop application or a cloud integration

  • Optimize a model for real-time performance

I’m constantly learning, improving my skills, and striving to turn cutting-edge technologies into practical, useful solutions. I’m ready to collaborate on technical or scientific projects.

Skills and abilities

Programming

Design & art

Services


Photo, Audio & Video

Administration

Outsourcing & consulting


Translation

Writing

Portfolio


  • 558 USD

    DiveGuard - smart system for underwater navigation and communication

    AI & Machine Learning
    DiveGuard is an innovative system developed by me with elements of artificial intelligence that ensures safe and efficient diver immersion. It combines computer vision technologies, gesture recognition, voice control, speech synthesis, and natural language processing.

    The system can:
    - Detect dangerous objects (e.g., sharks);
    … - Determine the diver’s health status and environmental parameters;
    - Respond to user gestures (e.g., "SOS", "All clear", "I am ascending", etc.);
    - Display information on a Head-Up Display interface;
    - Communicate with the user via voice and text without manual control.

    Technologies used:
    Python, YOLO, PyQt5, MediaPipe, Roboflow, SpeechRecognition, pyttsx3, FLAN-T5 XL.

    Result:
    DiveGuard significantly improves diving safety, suitable for ecological, scientific, or rescue underwater operations. The program has been tested in simulations and is ready for integration into hardware solutions.

    Achievements:
    This project has been presented at several international competitions, where it received recognition:
    - GENIUS Olympiad (USA) — Silver Medal
    - Mostratec (Brazil) — Official Participation
    - KIDE Expo (Taiwan) — Bronze Medal + Special Prize
    - INTARG (Poland) — Silver Medal
    - Sakura Science Exchange Program (Japan) — Participation in exchange program
  • 335 USD

    Computer vision system for waste recognition

    AI & Machine Learning
    Computer vision system for waste recognition — example of freelancer's portfolio work in category AI & Machine Learning
    The goal of the project "Computer Vision System for Garbage Recognition (Garbage Eye)" was to create a computer vision system for automatic recognition of garbage in photos, videos, and in real-time video streams. The system is designed for integration into "smart city" infrastructure and can operate both locally and in the cloud.

    As part of the implementation:
    - Analyzed existing analogs and selected effective neural network models;
    … - Prepared a dataset and trained the model;
    - Created a graphical interface based on PyQt5;
    - Implemented functionality for recognizing garbage in images, videos, and in real-time;
    - Configured automatic email notifications to the official email of the communal services of Kremenchuk upon detection of a critical amount of garbage.

    Technologies used:
    Python, PyTorch, OpenCV, YOLO, PyQt5, Roboflow.

    Result:
    The Garbage Eye system successfully performs household waste recognition, can be integrated into city monitoring and response services. Automatic notifications to communal services facilitate quick response to pollution incidents in the urban environment.

Activity

  Latest proposals 6
Stabilize Image Processing Pipeline (DL + CV) for Tomography / Ophthalmic Imaging Personal project
3000 USD
Script for checking Google Ads advertising accounts within our MCC based on certain criteria
123 USD
Automatic data exchange with POS system that does not have an API
558 USD
Development of AI-based software for medication management in a clinic
3200 USD
AI винный консультант в бар
2185 USD
A specialist who understands AI automation is needed
219 USD