-Utilized Java Spring Boot and Java Spring Web MVC to create 30+ REST APIs to perform CRUD-intensive and complex operations on different MongoDB collections-Employed Java Spring ResponseEntity and Optional wrappers in back-end user controllers and services to handle null pointers and null objects to eliminate 15+ HTTP 401/403 errors-Enriched Java Spring user models with manual referencing instead of relying on @DBRef annotations to optimize user controllers and cut MongoDB query times from 8+ to roughly 3 seconds-Verified and validated 20+ JavaScript HTTP fetch requests and ensured HTTP responses were in proper JSON format to parse and render onto the ReactJS front-end correctly-Implemented ReactJS user registration/login with JSON Web Token and HTTPOnly Cookie by leveraging Java Spring Security for authentication/authorization to reduce resource access time by roughly 10%

-Ideated proposal to Netflix for an iterative prototype of an online Film Festival resulting in an increase in publicity and establishing connections between independent filmmakers and existing audience-Drove product lifecycle as a team resulting in winning second place for Product Association @ UCI’s Product Fellowship Demo Day event-Crafted and exercised interview resources with diverse groups of people subsequently expanding user research data volume by 40%-Utilized Jira to create a product roadmap with kanban boards and organized stories to drive agile product development that consequently retained remaining work time by 17%-Collaborated with the Product Designer to construct 10+ low-fidelity wireframes through Figma which allowed more time allocation to higher-priority stories

-Instructed a class of 40 students on the basics of Python/Java and debugging tips, reducing time spent from 5 minutes per student to 20 minutes for the entire class-Demonstrated basics of recursion, object-oriented programming (OOP), and application programming interfaces (APIs) to groups of 40 students simultaneously-Exposed students to the runtime and space complexity tradeoffs between different data structures and algorithms such as tree node traversal depth-first search and breadth-first search

-Answered phone calls, conducted client outreach, and assisted with multiple offices’ responsibilities-Moderated data system, transferred more than 300 tenants’ data to newer systems to maximize security-Advised and redirected more than 50 Cantonese elderly to supervisors during an HRCSF event