Oleksii

OLEXII SEREBRYANSKY
JUNIOR COMPUTER VISION ENGINEER

[відкрити контакти](див. вище в блоці «контактна інформація») Plzen, CZ
Oleksii Serebrianskyi [відкрити контакти](див. вище в блоці «контактна інформація»)

PROFESSIONAL SUMMARY
Python Developer focused on Machine Learning, Computer Vision, web scraping and browser
automation.
Hands-on experience developing personal software projects involving deep learning, object detection,
image classification, automated data extraction and browser-based automation.
Experienced in developing end-to-end Python applications, from automated data acquisition and
processing to storage, model integration and application deployment.

TECHNICAL SKILLS
Computer Vision Deep Learning
YOLOv8 PyTorch
OpenCV MobileNetV3
Object Detection Convolutional Neural Networks
Image Classification Model Training and Evaluation
Image Preprocessing GPU-based Training / CUDA
Real-time Image Processing

Development Tools
Programming
Git / GitHub
Python
Linux / Ubuntu
NumPy
Google Colab
Pandas
PyQt6
SQL
SQLAlchemy
REST API Integration
PostgreSQL

PROFESSIONAL EXPERIENCE
Poker Analytics Assistant
Computer Vision / Deep Learning
GitHub: https://github.com/AlexeySerebryansky/Poker_Analytic

Developed a computer vision application for automated recognition of playing cards in poker table
images.
Implemented object detection using YOLOv8.
Developed a 52-class playing card classification model using MobileNetV3-Small.
Integrated PyTorch models with OpenCV image processing.
Built a real-time processing pipeline.
Implemented multithreaded execution using QThread.
Developed a desktop interface using PyQt6.
Integrated visual recognition with poker probability calculations.
Technologies: Python, PyTorch, YOLOv8, MobileNetV3, OpenCV, NumPy, PyQt6.

BidFax Parser
Python / Data Engineering
GitHub: https://github.com/AlexeySerebryansky/BidFax_parser

Developed a multi-stage web scraping system.
Implemented parallel data processing.
Integrated PostgreSQL using SQLAlchemy.
Built reusable parsing components.
Implemented error handling and data validation.
Technologies: Python, BeautifulSoup, SQLAlchemy, PostgreSQL.

DP Document Bot
Browser Automation / Web Scraping / Python Automation
GitHub: https://github.com/AlexeySerebryansky/DP_Document_bot

Developed an automated monitoring application for tracking appointment availability on web
resources.
Implemented automated browser-based monitoring.
Used anti-detect browser technology for interacting with web resources.
Automated availability checks and data collection.
Integrated monitoring results with Telegram notifications.
Implemented background execution and continuous monitoring.
Configured deployment and persistent operation on Linux servers.
Used SQLite for data persistence.
Technologies: Python, Anti-detect Browsers, Browser Automation, Web Scraping, Aiogram, SQLite,
Linux, systemd.

Grant Matching & Embedding Model
Machine Learning / NLP
GitHub: https://github.com/AlexeySerebryansky/Grant_cheker_bot
Developing an embedding-based machine learning solution for semantic grant matching.
Designed structured grant data representations.
Developed automated data collection.
Prepared datasets for model training.
Worked with textual preprocessing.
Explored vector representations and semantic similarity.
Used PyTorch and Google Colab for experimentation.
Technologies: Python, PyTorch, Pandas, Google Colab.

EDUCATION
Automotive / Motorsport Hillel IT School
Engineering Machine Learning Engineer
Odesa National Polytechnic Graduated: 2026
University (ONPU) Python Base
Graduated: 2024 Graduated: 2025