● Developed an application enabling Carel2control of gateway plants, device management, and implementation of a custom alarming system for IoT events. ● 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.

● 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 iterativedevelopment and testing. ● Gained hands-on experience with various tools and libraries, including Pandas, Numpy, Scikit-learn, SciPy.

● Redesigned and modernized the Sonepar Automation application by integrating the Logbot SDK V2, completely overhauling the existing codebase for improved extensibility, maintainability, and scalability. ● Redesigned and optimized the LB Bluetooth package within the Logbot SDK V2 to ensure seamless and reliable Bluetooth connectivity between applications and devices. ● 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.