Contributing to KubeAdmiral, a multi-cluster Kubernetes federation system, which manages 210,000 nodes and supports over 100,000 microservices internally.
Resolved a logging bottleneck with Zerolog logging & Lumberjack log rotation, implementing non-blocking, async message handling during high disk I/O.
Upgraded KubeAdmiral's internal metrics library and added alerting metrics for dropped logs, enabling on-call engineers to proactively address log-blocking issues.
Optimized multi-cluster scheduling by designing and implementing scheduling plugins to reduce resource fragmentation and improve debugging, leading to a 30% improvement in cluster utilization.
Streamlined SRE operations by developing an automated workflow using a RESTful API in Go, which validated human inputs before interacting with the Kubernetes API, minimizing human error by replacing CLI operations.
Software Development Engineer Intern, Identity Service Team, Autodesk
Maintained and enhanced Autodesk's Authorization API, a RESTful API utilizing OAuth 2.0 and OpenID Connect standards to authorize requests for over 20 million monthly active users.
Migrated Go integration tests from stdlib to Ginkgo BDD framework, collaborating with PMs/QAs to boost test efficiency and reliability.
Engineered Go CLI tools using Viper to automate feature flag archival, eliminating manual reviews, saving ~2 hours/week.
Authored and updated OpenAPI documentation to ensure the public-facing API specification remained accurate and up-to-date with new features.
Worked within an Agile scrum workflow, participating in daily stand-ups and sprint retrospectives to drive continuous improvement.
Student Mentor, National University of Singapore
Mentored current students with technical problems for CS2103/CS2103T (Software Engineering).
Gained experience in mentoring, written communication, and technical communication.
Contributed to enhancing the learning experience for a batch of 600 students.
Full Stack Engineer Intern, Q Team, Home Team Science & Technology Agency
Spearheaded an automated assessment platform for all ten MHA agencies by researching, benchmarking, and integrating state-of-the-art LLMs (incl. LLaMA3.1, Mixtral) to generate and mark questions from training manuals.
Engineered and deployed a full-stack, modular application, designing its architecture with Docker for cloud-based trials, building the UI in React, and securing the FastAPI backend with JWT authentication.
Contributed to the full Software Development Life Cycle (SDLC), engaging with stakeholders to gather requirements, define features, and collaborating with fellow teammates to support the project through to final testing and deployment.
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.