Andrii

Andrii Pavliuk Information Technology & Services

CONTACT Phone: [open contact info](look above in the "contact info" section) Telegram: https://t.me/Shch_854
Email: [open contact info](look above in the "contact info" section) Github: https://github.com/Drevlyanin

Computer Engineering Labs (in college) | 2024-2025
PROFESSIONAL
Algorithm Development & Machine Learning (Python Focus)
EXPERIENCE
Designed and implemented core machine learning algorithms (e.g., linear
regression, neural networks) from scratch using Python and NumPy for enhanced
performance and deeper algorithmic understanding.
Developed comprehensive technical documentation with mathematical proofs to
formalize algorithm design and task algorithmization.
Engineered efficient algorithms in Python, C++, and C# for complex numerical
analysis, data processing, and computational tasks.
Hardware Engineering & Low-Level Systems
Developed, optimized, and tested analog and digital circuits, including voltage
stabilizers and custom microcircuitry.
Applied a deep understanding of transistor-level logic and semiconductor physics
to circuit design and problem-solving.
Conducted low-level experiments with Windows/Linux OS internals and system
tools to analyze hardware-software interaction.
Possess extensive knowledge of peripheral devices, interfaces, and their
operational principles.
Authored detailed technical reports on semiconductor physics and digital logic
systems to communicate complex concepts and findings effectively.
Python Development & Numerical Computing
Advanced Numerical Methods: Developed custom numerical algorithms and
machine learning models (e.g., perceptrons) from scratch using NumPy, applying
linear algebra (matrix operations, eigenvectors).
Algorithm Design & Modeling: Engineered efficient algorithms utilizing graphical
modeling, flow analysis, and pseudocode for complex problem-solving.
Software Engineering Practices: Implemented robust, maintainable code using OOP
principles, optimized data structures (lists, dictionaries), and comprehensive error
handling.
Automation & Data Visualization: Automated research data processing pipelines
(OS module) and created visualizations for analysis and reporting (Matplotlib).

EDUCATION Ternopil Professional College | 2024 ~
Bachelor of Science Computer engineering

CERTIFICATES Data Analysis with Python | 2023 Scientific Computing with Python | 2023
freeCodeCamp freeCodeCamp
Machine Learning with Python | 2023 Python Basics and Applications | 2023
freeCodeCamp Stepik
CS50's Introduction to Programming
with Python | 2024-2025
HarvardX