• Carel Application: Developed an application enabling Carel2control of gateway plants, device management, and implementation of a custom alarming system for IoT events. • Logbot NewSDKs2:Currently spearheading the development of newLogbot Flutter SDKs including LB Bitstream, LB Assets and LB Alarms. These SDKs enhance functionality and integrate new company service features for ongoing projects.

• Quality Control System for SVC: Worked on signal processing and machine learning techniques to develop a quality control system for SVC (SlowVital Capacity) respiratory data. • Utilized Convolutional Neural Networks (CNNs) to analyze and interpret respiratory signals, ensuring accurate and reliable quality control. • Applied advanced signal processing techniques topreprocessandenhance respiratory data for better model performance. Collaborated with a team to optimize machine learning models and improve systemaccuracy through iterative development and testing. • Gained hands-on experience with various tools and libraries, including Pandas, Numpy, Scikit-learn, SciPy

• Sonepar Application: Redesigned and modernized the Sonepar Automation application by integrating the Logbot SDK V2, completely overhauling the existing codebase for improved extensibility, maintainability, and scalability. • LB Bluetooth: Redesigned and optimized the LB Bluetooth package within the Logbot SDK V2 to ensure seamless and reliable Bluetooth connectivity between applications and devices. • Logbot Packages Maintenance 2: Enhanced Logbot Flutter packages by implementing newfunctionalities, including LB Setup and LB Auth, to expand the feature set and improve user experience.

• Built educational and commercial apps with Flutter, optimizing backend integration and user experience.