Yehor KOROTENKO (dobbikov)
Summary
High qualified Software Engineer with over five years of experience across research, freelance, and industry settings. Adept at developing full-stack applications, building automation tools, and contributing to open-source projects.
Currently focused on machine translation and scientific tooling. Known for rapid learning, deep curiosity, and a strong commitment to building meaningful, high-impact software.
Education
Universite Paris-Saclay - Dual Degree in Mathematics and Computer Science (Sept 2023 - May 2026)
GPA: 18.0/20 (Top 2 of 57 students) | Honors: FMJH Scholarship
Relevant Coursework: Calculus, Analysis, Linear Algebra, Abstract Algebra & Group Theory, Probability & Statistics, Algorithmics & Data Structures, Functional Programming, Topology, Graphical Programming
Technical Skills
Programming Languages: Python, Rust, OCaml, C++, C#, JavaScript
Web Development: ASP.NET Core, Angular, React, MySQL
Data Science: Pandas, Matplotlib, NumPy, scikit-learn
Other Tools: Requests, Selenium, SQL
Version Control: Git, GitHub, GitLab
Experience
CentraleSupelec, Independent Software Engineer (Sept 2025 (contracted in Nov 2025) - pres.) - Leveraging adaptive machine translation to assist collaborative authoring and maintenance of large multilingual computational scientific narratives (continued to work on the project from LISN).
LISN, Research Intern (May 2025 - July 2025) - Leveraging adaptive machine translation to assist collaborative authoring and maintenance of large multilingual computational scientific narratives.
DevDJsUa, Software Engineer (June 2021 - December 2021) - Built scalable full-stack applications and interactive tools for clients, specializing in custom solutions including CRM systems and user-facing bots.
Freelance, Software Engineer (January 2021 - February 2022) - Developed full-stack web applications using JavaScript, C#, React, and Angular. Designed and implemented multiple Telegram bots for automation and user interaction.
Projects
Sci-trans-git - a research based toolchain to maintain
multilingual documents with style and syntax preservance.
View on GitHub
LogGit - a lightweight, easy-to-use logging library for Rust.
View on GitHub
Parse Dir Contents - a CLI application for directory contents extraction
to simplify the working process with LLMs.
View on GitHub
Open DiGraph Lib - a library for managing graphs and boolean circuits.
View on GitHub
Oxford Dict. Lib/Bot - a library and a telegram bot for simplifying English learning process.
View on GitHub
Full-Stack CRM for Scout Organization: Built a functional CRM using C#, ASP.NET Core, Entity Framework, MySQL, and Angular.
View on GitHub
Telegram Bot for Track Sorting: Designed a bot to categorize tracks by tonality using Python.
View on GitHub
GTA Online GameMode: Developed a 30,000+ line game mode in Pawn, incorporating CRM functionalities, SQL, and algorithms.
View on GitHub
University Timetable Bot: Created a bot to parse PDF files and assist users with scheduling using Python.
View on GitHub
Neural Networks in Rust: Built neural networks from scratch to explore machine learning concepts.
View on GitHub
Image Recognition Project: Conducted image recognition experiments using Python, Pandas, Matplotlib, NumPy, and scikit-learn.
Web Scraping Scripts: Automated data collection processes with Python, Selenium, and Requests.
Conference Contributions
Korotenko, Y. (2025). Leveraging Large Language Models for Maintaining Scientific Multilingual Documents. Poster presentation (extended abstract). Junior Conference on Data Science and Engineering (JDSE) - Gif-sur-Yvette, France.
Languages
Fluent: English, French
Native: Ukrainian, Russian
Interests & Extracurricular Activities
Scouting Leader: Active scout since age 12, organizing and participating in international events.
DJing Enthusiast: Enjoys creating music and performing as a DJ during free time.
Performing my Drum and Bass set in Dnipro, Ukraine (June 2023)