Роман

Roman Krit
Lviv, Lvivska oblast, Ukraine [відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація») in/roman-krit-91101832b

SUMMARY
Robotics Engineer with a strong background in Applied Mathematics and Computer Science. I specialize in translating complex
mathematical concepts—such as computational geometry and linear algebra—into high-performance C++ algorithms for autonomous
systems. With deep expertise in ROS2 and OpenCV, I bridge the gap between theoretical modeling and real-world deployment. My focus is
on developing robust perception and navigation solutions that remain reliable in dynamic, physical environments.

EXPERIENCE
Robotics Engineer
Logivations April 2025 - Present
• Engineered custom feature requests and bug fixes directly addressing customer feedback to improve robot reliability.
• Validated hardware-level logic on physical robots and utilized Foxglove for in-depth rosbag analysis to diagnose complex behavioral
issues.
• Ensured code stability by implementing comprehensive Unit tests (GTest) and System integration tests.
• Expanded Gazebo simulation environments by designing custom STL models, increasing test coverage for edge cases.
• Performed regression testing on new ROS2 nodes using historical rosbags to ensure backward compatibility.
• Authored technical documentation to streamline the onboarding process for new developers.
• Conducted technical interviews and code reviews to evaluate potential candidates for the engineering team.

PROJECT
Optical Character Recognition
github.com/Romeo-Romario/Image_Processing_from_scratch
• Developed a high-performance OCR unit from scratch, integrating C++ for core algorithms and Python for model interfacing.
• Engineered a mathematical segmentation module using Canny Edge Detection and the Hough Transform to automatically deskew and
align text pages.
• Implemented custom algorithmic logic to precisely calculate and detect character bounding boxes, reducing reliance on pre-built libraries.
• Generated a synthetic dataset to overcome data scarcity and applied fine-tuning techniques to achieve high accuracy on limited training
examples.

EDUCATION
Faculty of applied mathematics and computer science
Lviv Ivan Franko National University • Lviv • 2022

SKILLS
Programming: C++, Python
Robotics & AI: ROS2, Nav2, OpenCV, TensorFlow
Tools & Environment: Linux, Docker, Git, Pybind11
Languages: Ukrainian - Native, English - B2