Andrii Chekurda

Computer Vision Engineer @ CEA

About

Engineer at the intersection of machine learning, software development, and embedded systems. Currently working at CEA on computer vision algorithms for X-ray image analysis, combining mathematical signal processing with deep learning. I enjoy building things that connect data-driven intelligence to real-world problems — whether that's training GRU/LSTM models for energy prediction, developing embedded systems in C++, or shipping a mobile app from scratch. I learn fast, adapt easily to new environments, and I'm always ready to put in the extra effort a challenging problem requires. Technical background: Python, C/C++, TypeScript, TensorFlow, PyTorch, OpenCV, React Native, ROS, Docker, AWS. Finishing my engineering degree at ENSTA Paris (Robotics & Software Engineering). Open to CDI opportunities in Île-de-France in software engineering, AI, or robotics.

Country

France

City

Palaiseau

Industry

Computer Software

Skill

Product Development, User Interface Design, Geolocation, Agile & Waterfall Methodologies, Algorithms, Databases, Software Engineering Practices, Object-Oriented Programming (OOP), Programming, Control Systems Design, Scrum, Performance Tuning, Real-Time Operating Systems (RTOS), Feature Engineering, Unit Testing, Serial Communications, Arduino, Mathematical Modeling, OpenCV, Signal Processing

Experience

Computer Vision Engineer

CEA

2026-5 - Present · 4 mos

Saclay

I played a pivotal role in developing innovative algorithms for material classification in X-ray image analysis. • Engaged in full pipeline development, leveraging PyTorch, TensorFlow, and OpenCV for effective model design. • Employed mathematical transforms and feature engineering to extract and classify material properties from radiographic data. • Contributed to advancing automated inspection research at CEA, enhancing the intersection of analytical methods and AI.

Deep Learning Engineer

Centre Energie, Environnement, Procédés (CEEP), Mines Paris - PSL

2025-6 - 2025-8 · 3 mos

Versailles, Île-de-France, France

• Designed and trained GRU/LSTM models to predict electric vehicle energy performance metrics. • Developed a complete pipeline from dataset generation to model training and validation. • Achieved 90% accuracy on unseen driving cycles within 2 months, utilizing only CPU resources. • Created Python tools for effective visualization and validation of results.

Embedded System Engineer

ENSTA

2024-12 - 2025-5 · 6 mos

• Developed a two-player LaserTag system utilizing Python, Raspberry Pi, and Arduino for enhanced gameplay. • Designed a serial communication protocol for real-time gun-vest interaction, ensuring low latency. • Implemented hit detection, scoring, and LED feedback mechanisms to elevate user experience. • Contributed to ENSTA's innovative projects, focusing on embedded systems and real-time communication technologies.

Software Engineer

EPAM Systems

2023-1 - 2024-4 · 1 yr 4 mos

I contributed to front-end development across multiple client projects at EPAM Systems, including the Klitschko Foundation website, focusing on building user-friendly features and improving performance. • Built user-friendly web applications using JavaScript, HTML, and Angular depending on the project. • Implemented lazy loading and module refactoring for improved performance. • Collaborated in an Agile/Scrum environment to resolve critical bugs efficiently.

Software Engineer Intern

EPAM Systems

2022-9 - 2022-12 · 4 mos

• Completed a structured engineering training program at EPAM Systems, focusing on both front-end and back-end development. • Collaborated with a team to learn and apply industry best practices in software engineering. • Developed components that enhanced user experience and functionality in various projects.

Education

ENSTA

Robotics and Software Engineering

2024-9 - 2026-9 · 2 yrs 1 mo

Engineering program focused on robotics, software engineering, and embedded systems, combining theoretical foundations with hands-on projects in AI, control systems, and real-time programming.