In collaboration with Arla Foods Ingredients about valorizing food ingredients using machine learning models.Researched on peptides and proteins to predict and classify their functionalities, including anti-bacterial, anti-cancer and anti-viral.Utilized AlphaFold by Google DeepMind to generate 3D peptide structures, extracting geometric features (distances, angles, and PSSM) to input into graph neural networks.Employed and optimized various Graph Neural Network models, achieving improved classification accuracy (around 0.9) for peptide functionalities, particularly in anti-bacterial applications

Wrote Java codes for IoT-caompatible apps for embedded devices ysing BLE, TCP and MQTT.Developed supporting services and logic (Interfaces, Design Patterns, APIs) for Android applications for remote car diagnostics and vehicle fleet management, enabling real-time data analysis via Bluetooth and MQTT for short- and long-range communication.Improved communication speed and accuracy between Android devices and Bluetooth hardware by 22% through optimized packet segmenta- tion and enhanced code quality, while collaborating effectively with the core technology team.

Programmed and implemented industrial modules with PLC. Tested and improved train spring tester system. Worked with various sensors (proximity, color detection, metal detection) and actuators (step motor, hydraulic actuator, grippers).