Andrei Mocanu

Passionate about how the tech world works and love to learn daily basis.

MimoSense GmbH (Software Engineer)
Darmstadt, Germany Oct 2024– Sep 2025

• Architected and developed Python-based software (using agile software development method) that handles data acquisition, processing, and API layers, simplifying feature delivery and future maintenance; and complemented it with an intuitive client dashboard that streams real-time sensor data and supports self configuration options.

• Co-developed embedded firmware in C/C++ for Arduino Nano and ESP32 platforms, delivering reliable real-time sensor interfacing and laying the groundwork for low-latency data transmission. 

• Researched, designed, and benchmarked advanced signal-processing algorithms for proprietary ballistocardiography (BCG) sensors, enabling robust extraction of vital-sign parameters and significantly improving heart-rate, respiratory-rate, and motion-detection accuracy by reducing noise artifacts. 

• Created and deployed the company’s web presence with JavaScript/Node.js, integrating React on the front end, RESTful services on the backend, and managed DNS, SSL, and cloud hosting
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Phoenix Contact (Computer Vision Engineer)
Master’s thesis activity Bologna, Italy- Bad Pyrmont, Germany Sep 2023– Mar 2024 

• Trained (using custom datasets) and evaluated the performance of multiple object detection models (such as YOLO and SSD-Mobilenet) to recognize plastic containers in river streams using an IP camera footage

• Optimized the models by availing of the quantization technique in order to improve the inference speed on proprietary embedded devices 

• Implemented object tracking and counting algorithms on real-time footage with the help of OpenCV library, further I developed a web-app using Flask that allowed the data to be transmitted to a cloud platform and monitored remotely using Grafana service

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Network Propaganda (Web Developer)
Ferrara, Italy Jan 2021– Mar 2023

• Developed web applications using the server-side framework CodeIgniter and BootStrap as a front-end framework  

• Configured and maintained different host domains and servers, which were used for deploying the web apps or for internal system backups 

• Built websites using WordPress and integrated an efficient automation of the newsletters based on client’s data

Università degli Studi di Ferrara UNIFE 
Master’s Degree - Computer Science and Automation Engineering Ferrara, Italy Mar 2020– Mar 2024 

· Relevant Modules: Deep Learning, Data Mining and Analytics, Concurrent Programming, Artificial Intelligence for Constrained Optimization, Distributed Systems