Patrick Niyigena
Inteligencia Artificial en Carnegie Mellon University Africa
Ruanda
¡Hola, soy Patrick Niyigena!
Automation Engineer Intern en Eta Elektroteknik San. Tic. Ltd. Şti
MSc candidate in Engineering Artificial Intelligence with a strong Mechatronics and Embedded Systems background, focused on ML/AI engineering, algorithm development, and Python-based model implementation. Experienced in applying machine learning, deep learning, and data-driven methods to cyber-physical and industrial systems, including sensor data, computer vision, and embedded platforms. Strong foundation in ML theory, deep learning, and NLP through graduate-level coursework. Seeking ML/AI Engineer internship roles where modeling, algorithms, and data intersect with real-world systems—particularly in semiconductor, automotive, and Industry 4.0 environments.
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Experiencia
Eta Elektroteknik San. Tic. Ltd. Şti
Automation Engineer Intern
February 2024 - June 2024
Developed and debugged control logic for industrial automation systems.
Implemented structured, maintainable code and collaborated with cross-functional engineering teams.
Supported data-driven troubleshooting and performance validation of automated processes.
Eta Elektroteknik San. Tic. Ltd. Şti
Automation Engineer Intern
February 2024 - June 2024
Developed and debugged control logic for industrial automation solutions.
Wrote and maintained high-quality, scalable code within structured software environments.
Collaborated with cross-functional teams, ensuring clear communication and accurate knowledge sharing.
Work 3 Teknoloji
Embedded Systems Intern
January 2023 - April 2023
Authored, debugged, and optimized C/C++ firmware for microcontroller-based devices.
Conducted rigorous code reviews and implemented efficient communication protocols.
Developed software to process and transmit sensor data, demonstrating a strong grasp of data-handling workflows.
MTS Mekatronik
Mechatronics Intern
June 2022 - August 2022
Automated industrial systems using Python and computer vision modules.
Evaluated system performance using data-driven methods and applied software refinements to improve efficiency.
Maintained and debugged code for real-world applications, ensuring robust and reliable operation.
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Idiomas
Inglés
Francés
Turco
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