Built open source data ingestion and visualization service that parses data from the hardware sensors and presents it in an easy-to-use web data dashboard, allowing researchers to analyze their custom sensors in real time without disrupting their experiments• Designed and implemented a REST API with Flask to log voltage, current, and temperature sensor data into a PostgreSQL database, modeling the data to optimize and simplify analysis for researchers.• Constructed an interactive data dashboard with live graphs using React, featuring filter and zoom capabilities, enabling researchers to showcase real-time demos at conferences• Leveraged JWT refresh tokens to manage the account lifecycle and fortify API endpoint security, enhancing overall system authentication and authorization• Developed support for simultaneous large CSV file exports using Redis and Celery for distributed task processing, improving scalability and efficiency• Integrated CI/CD pipeline using GitHub Actions and Docker to automate testing (unit, integration, coverage), API deployment on AWS ECS and EC2, and web client deployment on AWS CloudFront

Developed an educational qualitative analysis web platform for large-scale student collaboration and automated peer feedback• Led the development interview transcript annotating web application used by 100+ students in a business strategy course, helping students collaboratively learn qualitative analysis• Developed Angular UI components using RxJS, Redux, and Firestore transactions to facilitate real-time, collaborative transcript annotation for multiple users• Refactored Angular components to lazy load large data models, reducing initial page load times by 60% and improving client-side performance for large-scale data rendering