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Glib S. AI, Cloud and Modern Frameworks

My name is Glib S. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Artificial Intelligence, TensorFlow, PyTorch, Python, etc.. I hold a degree in Doctor of Philosophy (PhD), Master of Science in Information Technology (MSc(IT)), Bachelor of Applied Science (BASc). Some of the notable projects I've worked on include: React developer, AI-powered full-stack application for Grape Segmentation Using YOLO-v8, React & Node.js Fitness App and Web Platform with AI Integration, React Native, Node.js Mobile Platform for Music Fan Engagement, AI-Powered Synthetic Data Generation System for Machine Learning, etc.. I am based in Lviv, Ukraine. I've successfully completed 12 projects while developing at Softaims.

I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.

I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.

My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.

Main technologies

  • AI, Cloud and Modern Frameworks

    5 years

  • Machine Learning

    4 Years

  • Artificial Intelligence

    1 Year

  • TensorFlow

    2 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Upwork

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Experience Highlights

React developer | full stack development | web development

Indie Town is a music industry networking and booking platform built to connect musicians, bands, and artist community members such as venues, promoters, zines, and videographers. It replaces the trad

AI-powered full-stack application for Grape Segmentation Using YOLO-v8

GRAPATOR is a deep-learning solution that performs instance segmentation of grapes using YOLOv8. It reliably detects and segments individual grapes in challenging conditions (overlaps, occlusions, var

React & Node.js Fitness App and Web Platform with AI Integration

Hybrid Pump is a cross-platform fitness ecosystem that combines a mobile application and web platform built for the functional bodybuilding community. The platform connects athletes, coaches, and enth

React Native, Node.js Mobile Platform for Music Fan Engagement

Artistory is a cross-platform music engagement app that connects fans, artists, and trending music through interactive features like song brackets, fan profiles, and discovery challenges. Built with R

AI-Powered Synthetic Data Generation System for Machine Learning

SYNTHIA is an AI-driven synthetic data generation platform designed to produce realistic, parameterized datasets for machine learning model training and validation. The system generates structured and

Education

  • National University Lviv Polytechnic

    Doctor of Philosophy (PhD) in Artificial Intelligence Systems

    2023-01-01-2027-01-01

  • National University Lviv Polytechnic

    Master of Science in Information Technology (MSc(IT)) in Artificial Intelligence Systems

    2021-01-01-2022-01-01

  • National University Lviv Polytechnic

    Bachelor of Applied Science (BASc) in Artificial Intelligence Systems

    2017-01-01-2021-01-01

Languages

  • English (Native or Bilingual)