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Yevhenii M. AI, Python and General Development

My name is Yevhenii M. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Python, Natural Language Processing, Deep Learning, etc.. I hold a degree in Bachelor's degree, Master's degree. Some of the notable projects I've worked on include: Virtual chat friends, UniSafe Info, SmartBooker, PhotoAI, Emotion recognition. I am based in Kyiv, Ukraine. I've successfully completed 5 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • AI, Python and General Development

    0 years

  • Artificial Intelligence

    1 Year

  • Machine Learning

    1 Year

  • Python

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Litslink

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Experience Highlights

Virtual chat friends

An LLM-powered chatbot allows you to chat with an online friend who becomes increasingly familiar with you with every conversation. The target audience is anyone experiencing loneliness or anxiety, or

UniSafe Info

Unisafe is a system for managing the workforce. The field-based workers (guards) need tools that go where they go. These are mobile self-service tools for the distributed workforce and a web service t

SmartBooker

An application that allows the user to arrange for a person to do a specific job (clean the home, buy products, babysitter or another non-professional job) for a certain amount of time. Also, users ca

PhotoAI

Album Refiner web platform and mobile app that automatically selects the best photos from your image roll, using AI and user preferences. Albums are presented in an orderly, story-telling manner, leav

Emotion recognition

The system detects 7 different human emotions.

Education

  • Taras Shevchenko National University of Kyiv

    Bachelor's degree in Computer Engineering (Engineering of Computer Systems and Networks)

    2020-01-01-2024-01-01

  • Taras Shevchenko National University of Kyiv

    Master's degree in Computer Science (Mathematical Methods of Artificial Intelligence)

    2024-01-01-2026-01-01

Languages

  • English (Fluent)