- Файл
Bohdan
C++ software engineer
- Город проживания:
- Киев
- Готов работать:
- Киев, Львов
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SOFTWARE ENGINEER
SUMMARY
Motivated and adaptable Software Engineer with nearly 2 years of experience in developing software for
consumer networking devices based on OpenWRT. Skilled in C/C++ programming, Linux environments, and
multithreading. Proven ability to troubleshoot and optimize existing solutions, implement new features, and
work in multinational teams. Effective collaborator with a passion for continuous learning and problem-solving.
CONTACT EXPERIENCE
Phone: [
Telegram: @kovalbohdanxxx GlobalLogic • Dec 2023 – current
Linkedin: @kovalbohdanxxx
Email: [
Address: Ukraine, Lviv consumer routers based on OpenWRT.
Fixed bugs and implemented new features to enhance
SKILLS device functionality.
Collaborated effectively within a multinational team,
Programming Languages: C/C++, Python ensuring smooth communication with international
Algorithms and Data Structures colleagues.
Standard Template Library (STL) Acted as a mentor for a trainee, providing guidance and
Object-Oriented Programming (OOP) support during their onboarding.
Basic Networking Developed and integrated new modules into existing
Multithreading projects.
Operating Systems: Linux Optimized existing solutions to improve performance and
Debugging: gdb, valgrind stability.
Databases: SQL/MySQL (basic Created patches for open-source packages to contribute
knowledge, used in academic projects) improvements and fixes.
Version Control: Git, Github/Gitlab
Project Management Tools: Jira, Trainee Software Engineer
Confluence GlobalLogic • Aug 2023 – Dec 2023
Completed professional training and gained hands-on
SOFT SKILLS
experience working with Linux operating systems
Quick Learning and Adaptability Developed several projects including an HTTP/HTTPS server
Experience working in a multinational implemented in C/C++ and a WiFi Scanner tool written in C++
team Learned to work with OpenWRT platform, including writing
Critical Thinking custom modules and extending system functionality
Problem Solving
NOTABLE PROJECTS
Self-Motivation
Human Detection System with Drone
EDUCATION Developed a deep learning-based human recognition
system integrated with a real drone platform. Key
Bachelor of Science achievements include:
in Computer Science Implemented and trained object detection models on
Lviv Polytechnic National University the VisDrone dataset for real-time inference.
Department of Artificial Intelligence Achieved high detection accuracy in scenarios involving
Systems small and partially occluded objects.
Built an OpenCV-based interface for real-time
LANGUAGES communication between the drone and the trained
model.
Ukrainian (Native) Optimized video stream processing by analyzing every
English - B1+(actively improving);used in third frame, balancing computational load and
daily stand-ups and team detection precision.
communication. Comfortable reading Evaluated model performance through benchmark
technical documentation and writing comparisons with VisDrone leaderboard results.
reports.
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