• Used the MERN Stack and React Native to receive data from several sensors and process data beforedisplaying various statistical plots, continuously updating.• Built and improved infrastructure of a web-app prototype and interfaced with the hardware team’s sensor components to design a medical management device.• Replaced inefficient HTTP requests with Web-Sockets, reducing data transfer latency by 94%• Designed NOSQL database architecture using MongoDB allowing clients store and securely retrieve thousands of patients information.

• Facilitate the Engineering Design Principles via project-based learning• Encourage innovational thinking and design systems.•Teach a section of 30+ first-year students the engineering design process as they built multi-week projects.• Help students with the basics of python programming by teaching the logic and syntax of conditionalstatements, loops, file I/O, and OOP.• Led 6+ design/code reviews to ensure projects are well integrated and code is optimized and documented

• Awarded National Sciences and Engineering Research Council’s Undergraduate Student Research Award to research Adaptive Cyber-Physical Systems for Human-AI partnership within a surgical setting• Conducted Literature Reviews of emerging technologies in Artificial Intelligence and Data Acquisition• Delivered several machine learning models (neural networks, random forest, SVM) from scratch with aaverage prediction accuracy of 92% by processing data using NumPy, Pandas, and TensorFlow• Contributed 1500+ lines of code to the front-end and back-end of a fullstack project assessing the quality of machine learning being leveraged using the MERN stack, in 8 weeks, ensuring maintainability and scalability. • Implemented PDF storage/viewing functionality by developing REST API endpoints, and conductingback-end analytics of user interaction, and core functionality.