My Portfolio

Experience

Developed a Java-based terminology service with Spring, ensuring ONC certification and increasing access to 1M+ standardized medical terminologies.
Optimized CPU utilization for a high-traffic module (38M+ daily requests) by implementing Redis Pub/Sub to replace polling, improving system efficiency and scalability with event-driven updates.
Engineered high-performance APIs with Java and SQL, utilizing indexing and query tuning to achieve a 100%+ reduction in latency and ensuring SLA compliance.
Mentored junior interns on system design and coding best practices, accelerating onboarding by 50% and elevating team-wide coding standards.

Developed a LabVIEW application to control a scale model of a human centrifuge, enabling realtime data collection and enhancing simulation control.
Integrated LabVIEW APIs to sync with sensors and hardware components, expanding operational capabilities to support 5+ new training scenarios.
Conducted extensive testing and debugging, identifying and resolving 10+ software and hardware issues to ensure stable performance under various simulation conditions.
Authored technical documentation and training materials which resulted in faster adoption of the model.

Taught topics such as UI design, evaluation, and HCI principles to improve software usability.

Designed introductory Java lesson plans for kids covering fundamentals such as variables, data types and methods.
Stimulated students’ interests in programming through an enthusiastic teaching style and engaging exercises.

AI-powered web app that generates high-quality USMLE practice questions to enhance exam preparation.
Technologies Used: Google Gemini API, Java, HTML

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Web app for practicing permutation algorithms on the Rubik’s Cube to optimize speedcuber solve times.
Technologies Used: Java, JavaScript, Render, HTML, CSS

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Mobile app that tracks users’ carbon footprints and encourages sustainable decisions with a reward system.
Technologies Used: Flutter, Firebase, Cloud Firestore

Demo Video

Web app that allows users to check for post-credits scene in movies before watching for ease of mind.
Technologies Used: TMDb API, Github pages, JavaScript

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