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Eugene G. AI, Cloud and Computer Vision Platforms

My name is Eugene G. and I have over 12 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, OpenCV, Computer Vision, TensorFlow, PyTorch, etc.. I hold a degree in Master's degree. Some of the notable projects I've worked on include: AI Vision Tool for EAN Barcode Detection, Text-to-Manicure Generator, Fast Eye Structure Detection, Fast colour balls detection & tracking, Face contour crop, etc.. I am based in Kyiv, Ukraine. I've successfully completed 15 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • AI, Cloud and Computer Vision Platforms

    12 years

  • Deep Learning

    8 Years

  • OpenCV

    10 Years

  • Computer Vision

    4 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Gradeon

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Experience Highlights

AI Vision Tool for EAN Barcode Detection | Delivery service

Barcode ROI detection. Barcode recognition from webcam Google vision OCR used to improve accuracy

Text-to-Manicure Generator | Beauty-Tech Startup

Goal: Develop a system to generate realistic images of women’s nails with different forms, shapes, and sizes based on text prompts. Workflow: Data Preparation: Database creation and parsing. Semi-au

Fast Eye Structure Detection | Medical AI Startup

Detect eye part (eye, pupil, reflection on the back and front) - FRCNN training - Yolo3 and Yolo3-tiny training - evaluation, precision, recall - python code integration - fast solution - 10 fps

Fast colour balls detection & tracking

Ultra fast ball tracking and detection - 150 fps - detection based on Hough transform - detection based on color & saturation & contour - segmentation - tracking based on color Technologies: C++

Face contour crop

Face contour crop - face detection - CPD background remover - background remover + shape crop Technology: Python, PyTorch, OpenCV

Education

  • Moscow Institute of Physics and Technology

    Master's degree in Applied Physics and Mathematics

    2006-01-01-2012-01-01

Languages

  • English (Fluent)✓
  • Russian (Native or Bilingual)
  • Ukrainian (Native or Bilingual)