Vladyslav

Vladyslav Haslo
[open contact info](look above in the "contact info" section) | [open contact info](look above in the "contact info" section) | https://vilardcool.github.io/Portfolio

Technical Skills
Languages: C/C++, Python, Java, SQL, JavaScript, HTML/CSS, AMPL
Frameworks: React, Node.js, Express.js, Socket.IO, FastAPI, Flask, Django
Developer Tools: Git, Google Cloud, Microsoft Azure, Render, Docker, Linux, Postman

Experience
Python Developer June 2024 – August 2026
IRBIS GROUP Kyiv, Ukraine
• Automated processing of 5,000+ product records by developing Python ETL pipelines for supplier catalogs,

reducing manual processing time by 70%
• Integrated 5+ external supplier APIs using Python and REST, automating inventory and price synchronization and

reducing update delays from hours to minutes
• Optimized product search and database queries by redesigning SQL queries and indexes, reducing average response

time by 40%
• Automated reports with Python and Pandas, reducing preparation to a few minutes, while improved reliability of

processes through automated validation, error handling, and logging
Optimization Research Assistant March 2024 – June 2024
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine Kyiv, Ukraine
• Developed Python and AMPL image compression algorithm using P-median optimization, reducing image color

representation by 62% while maintaining 30.8 dB PSNR and 0.87 SSIM
• Implemented an end-to-end Python/NumPy image compression pipeline, including color quantization, P-median

clustering, reconstruction, and quality evaluation
• Optimized Python image-processing and distance-calculation routines, achieving 36% reduction in processing time

Projects
Vilard’s Quiz | JavaScript, Node.js, Express.js, Socket.IO, Render July 2025 – Present
• Developed a full-stack web application with more than 100 users by implementing an interactive quiz platform with

real-time question rendering, scoring, and timer-based assessments
• Accelerated quiz creation workflow by 75% by building a packs creation tool with visualized main information

about questions and content
• Reduced quiz evaluation time by 90% by implementing automatic grading and instant result generation

• Enhanced user retention by 30% through responsive UI design and timer-based interactive quizzes

Vilard’s Image Platform | Python, JavaScript, AMPL, Keras, Render Sep. 2023 – May 2025
• Reduced image storage requirements by up to 92% by developing a lossy image compression platform

• Accelerated compression processing time by 35% by creating aglomerative clustering image compression algorithms

• Improved the search for the most efficient representative color by 86% by implementing P-median with AMPL

• Implemented a super-resolution algorithm that can significantly enhanced image quality of 586Ö391 pixel picture

while increasing file size by only 29 KB by training convolutional neural network with Keras
Telegram ChatBot | Python, Telegram.ext, PARCS, Google Cloud, Microsoft Azure Jan. 2022 – June 2023
• Reduced image transmission size by more than 88% by developing a Telegram chatbot for image compression

• Increased chatbot response speed by designing lightweight compression workflows suitable for Telegram API

• Implemented parallel computing for K-means method, that requires up to 97% less time for processing by using the

PARCS technology, Google Cloud and Microsoft Azure

Education
Taras Shevchenko National University of Kyiv Kyiv, Ukraine
PhD in Applied Mathematics Oct. 2025 – Present
Taras Shevchenko National University of Kyiv Kyiv, Ukraine
Master of Science in Computer Science with honors Oct. 2023 – June 2025
Taras Shevchenko National University of Kyiv Kyiv, Ukraine
Bachelor of Science in Computer Science Sep. 2019 – June 2023