Marius Ciobanu Email & Phone Number

As a Junior Technology Engineer, I specialize in integrating hardware and software solutions for product design and prototyping. With expertise in both mechanical and electronic systems, my key responsibilities include:- Mechanical Design: Proficient in using SOLIDWORKS for designing and editing mechanical components, ensuring high precision and optimization of parts for manufacturing and prototyping.- PCB Design and Development: Expertise in Altium Designer, Eagle, and Siemens Electronic Systems for creating, developing, and optimizing printed circuit boards (PCBs) used in various electronic products, from prototypes to production-ready designs.- Software Development for Mobile Applications: Skilled in Python for mobile application development, ensuring seamless integration of hardware with software for product functionality and user interface design.

Bucharest, Romania

During my internship at the Institute of Solid Mechanics of the Romanian Academy (IMSAR), I engaged with a variety of cutting-edge technologies and tools to develop and optimize models for image recognition, pose estimation, and augmented reality. Key responsibilities and achievements include:- Machine Learning and Image Processing: Utilized OpenCV, TensorFlow, PyTorch, and MediaPipe to build advanced models for image recognition and human pose estimation.Integrated MobileNetV2 and CenterNet to enhance human pose estimation tasks, ensuring accurate and efficient results.- Augmented Reality Development: Implemented augmented reality systems using OpenCV to overlay images onto real-time video feeds based on ArUco markers.- Deep Learning for Object and Pose Detection: Leveraged Convolutional Neural Networks (CNNs), using techniques such as BatchNormalization, Conv2D, MaxPooling2D, and Dropout to improve model performance for image classification, pose estimation, and object detection tasks.Integrated OpenPose and AlphaPose (via gluoncv) for detailed human pose estimation.- Optimizing Model Training: Applied training optimizations such as dynamic learning rate adjustment and early stopping to fine-tune model performance.- Project Focus: My work primarily focused on improving bottle detection systems and edge detection using a comprehensive image dataset to achieve high precision and efficiency.

Mechatronics, Robotics, And Automation Engineering

High School Diploma, Mathematics And Computer Science