Contributing to KubeAdmiral, a large-scale multi-cluster Kubernetes management engine used to orchestrate and propagate cloud-native applications across hybrid/multi-cloud environments; focusing on observability and metrics instrumentation to support system reliability.
Currently upgrading ByteDance's in-house metrics SDK within KubeAdmiral; monitoring performance through Grafana to ensure stable observability.
Software Development Engineer Intern, Identity Service Team, Autodesk
Maintained and enhanced Autodesk's Authorization API, utilizing the OAuth 2.0 and OpenID Connect standards to generate tokens necessary for authorizing requests to APS APIs and SDKs, ensuring seamless operation across all Autodesk products for over 20 million Monthly Active Users.
Pioneered the integration of Behavior-Driven Development (BDD) practices using the Ginkgo framework, enhancing testing efficiency and fortifying code reliability for critical services.
Engineered command-line tools to automate the shortlisting of feature flags for archival via custom criteria and markdown reports, eliminating manual reviews and streamlining weekly service maintenance.
HeadCount
Mentored three first-time hackathon participants in developing HeadCount, a real-time occupancy monitoring system.
Integrated YOLO machine learning model with FastAPI for backend and Next.js for frontend development.
Won Best Rookie Hack Award at sunhacks 2024, organized by MLH.
Utilized React, FastAPI, and OpenCV to handle live video processing and people counting.
Developed a mobile application that generated food recommendations on campus based on user preference, reviews and timetable data, reducing decision time for users.
Utilized Jest to conduct automated testing, reducing testing time by 50% as compared to manual testing.
Developed a mobile-friendly frontend using React, Sass, Bootstrap and SCSS.
Hosted API calls on the backend via Firebase to ensure consistency and to implement better error handling.