Khrystyna Dyda

Simulation Engineer – RTI / Distributed Systems @ contract work

About

I am a software engineer focused on Backend, computer vision, robotics perception, and real-time systems. Mymain background is in building low-latency vision, tracking, and simulation-related software using C++,OpenCV, Linux, and concurrent programming.Alongside C++ systems work, I have also built robotics perception and control prototypes in ROS/Gazebousing OpenCV and Python-based tooling. My experience includes object tracking, robotics vision,path-feature extraction, estimation workflows, and performance-sensitive technical implementations.I am especially interested in engineering work that combines computer vision, structured debugging,modular software design, and reliable runtime behavior. I am currently targeting engineering opportunitiesin Europe where I can contribute to production-quality C++ systems while continuing to grow in computervision, robotics, and real-time software engineering.My core strengths include:-Modern C++-Computer vision with OpenCV-Real-time and performance-sensitive systems-Linux-based development-Multithreading and system optimization-Tracking, estimation, and perception pipelinesI am currently targeting engineering opportunities in Europe where I can contribute to production-quality C++ systems and continue growing in computer vision, robotics, and real-time software engineering

Country

City

Poland

Industry

Internet

Skill

C++, Computer Vision, OpenCV, Linux, Real-Time Systems, Multithreading, Image Processing, Robotics, Performance Optimization, System Design, Debugging, Kalman Filtering, Python, ROS, Git

Experience

Simulation Engineer – RTI / Distributed Systems

contract work

2024-1 - 2025-11 · 1 yr 11 mos

• Designed distributed simulation flows using HLA/RTI communication patterns across 4–6 coordinated simulation nodes. • Built synchronization and message-exchange logic for time-stepped scenario updates with sub-100 ms event propagation targets. • Implemented Kalman-filter-based tracking components for up to 8 concurrent moving targets with continuous state-estimation updates.

Independent Researcher / Robotics Vision Engineer

University Lab Collaboration

2021-2 - 2023-11 · 2 yrs 10 mos

Ucraina

• Built a real-time soccer robotics vision pipeline in C++ and OpenCV designed for live camera input at approximately 25–30 FPS. • Implemented object-detection and robot-localization logic for tracking up to 10 field entities, including robots and ball state updates. • Designed fuzzy-control decision logic for autonomous motion and movement correction under changing field conditions. • Optimized image-processing stages to reduce per-frame latency from roughly 45–55 ms to 25–30 ms through pipeline cleanup and stage-level tuning.