About Me
As a driven Math-Computer Science and Data Science student at UC San Diego, I specialize in full-stack software development, UI testing, machine learning, data analysis, and human-robot interaction. My mission is to harness the power of technology to create innovative solutions that improve lives and drive positive change.
Currently, I am proud to be collaborating with Mercury Alert AI on their groundbreaking Two-Way Audio Cloud and Software platform. This exciting opportunity allows me to apply my skills in software engineering and machine learning to revolutionize healthcare technology and make a tangible impact in people's lives.
Throughout my academic and professional journey, I have honed my problem-solving abilities, attention to detail, and adaptability to thrive in dynamic, fast-paced environments. I am passionate about working collaboratively with diverse teams to tackle complex challenges and deliver cutting-edge solutions.
Experience
Software Engineer and Machine Learning
Mercury Alert AI - Internship | May 2024 - Present
- Developed a scalable Two-Way Audio system using AWS Chime, Lambda, and WebRTC, enhancing communication capabilities for the medical devices
- Collaborated with a team of 5 to label 8,000+ video frames, improving the accuracy of the Computer Vision Model by 15%
- Designed and implemented efficient DynamoDB tables, optimizing data storage and retrieval for 20+ device types
- Developed full-stack features for the Mercury Alert Health App, leveraging React, Node.js, and AWS services
Lead Full-Stack Developer
CircuCare - Internship & Research | June 2024 - Present
- Led a team of 4 to develop a responsive and user-friendly CircuCare Web App using Next.js, TypeScript, and Tailwind CSS
- Re-engineered the CircuCare App's backend and frontend, optimizing vital recording from ultrasound patches and improving data processing speed by 30%
Software Engineer
Enzigma - Internship | June 2023 - September 2023
- Developed a robust Frontend UI Testing Framework for PWR Apps using Selenium and Cucumber.js, ensuring cross-browser compatibility
- Implemented automated UI tests for Login and Features pages, utilizing data from RESTful APIs
- Created an automated Test Reporting system with screenshots and high-priority email notifications, reducing manual testing efforts by 50%
Marketing Chair
UCSD Computer Science & Engineering Society | June 2023 - March 2024
- Led the promotion of 6+ CSES events through social media, industry collaborations, and professor connections
- Pioneered an innovative approach to enhance student involvement with CSES, resulting in a 40% increase in membership
Projects
Pupper Jones A Robot
FORTUNE TELLER
ARE NEWS NETWORKS CREATING MORE NEGATIVE CONTENT FOR HIGHER ENGAGEMENT?
HOME LOAN APPROVAL
Predictive Analysis of Reddit Submissions
Skills
- Technical:PythonJavaHTML5CSSJavaScriptC++TypeScriptSwift
- Frameworks and Libraries:Express.jsNode.jsReact.jsBootstrapPyTorchOpenCVNext.jsRESTful APIsSelenium CucumberWebDriver.IOPandasSciPy
- Databases & Cloud:PostgreSQLDynamoDBAWS ChimeAWS LambdaROS2WebRTCTwilio
- Tools:GitGitHubVS CodeXCodeJupyter NotebookPostmanLaTeX
Resume
Last updated: October 22nd 2024