SUMMARY Full-stack and AI product engineer with 9+ years of experience building scalable web applications and backend systems across Java/Spring and TypeScript/Node.js.
Experience
2024 — Now
Livermore, California, United States
• Built a Node.js microservice using Express and LangChain to integrate OpenAI GPT-4o Vision for automated profile image moderation. Designed RESTful endpoints consumed by a Java Spring backend, reducing manual reviews by ~80% and improving content policy compliance.
• Architected and developed distributed backend services (Spring Boot microservices on AWS ECS) supporting cross-region data and chat infrastructure.
• Implemented horizontal scaling, Redis caching, and global data partitioning to ensure low latency and fault tolerance.
• Architected and developed the mobile application using React Native (TypeScript).
• Integrated international compliance frameworks, including Apple In-App Purchase, GDPR, CCPA, and Chinese regulatory filings such as ICP Filing and Public Security Bureau (PSB) Filing.
• Delivered the end-to-end launch process across 8 platforms, including Apple App Store, Google Play, Huawei, Xiaomi, Tencent, Oppo, Vivo, and Honor; oversaw product design and implementation of a bilingual user experience.
• Designed and developed the admin dashboard (frontend and backend) for managing users and financial operations using TypeScript, React, Java, and Spring Boot.
• Owned DevOps infrastructure, including CI/CD automation and secure API gateway configuration.
2023 — 2024
Palo Alto, California, United States
• Participated in the design and development of a distributed payment transaction system for the Corporate & Investment Bank, processing millions of cross-system financial transactions daily within a microservices architecture.
• Implemented new features and enhancements to improve functionality, performance, and user experience.
• Utilized Java & Spring Boot for backend services and TypeScript + React for frontend development.
• Developed internal monitoring tools to track service performance for millions of daily transactions.
• Took initiative to design and build automation tools outside core duties (nights & weekends, with manager approval), later adopted by hundreds of colleagues — eliminating repetitive manual tasks, improving efficiency, and saving around $1.45M in employee wages annually.
• Provided technical support, resolved production issues, and collaborated with cross-functional teams to maintain system reliability.
2021 — 2023
Santa Clara, California, United States
• Designed and implemented a robust data pipeline to facilitate AI model training, significantly improving the predictive accuracy and reliability of Image-recognition/Video-recognition algorithms.
• Developed the end-to-end process of data annotation, model training, and evaluation, ensuring the deployment of high-performing AI models.
• Implemented a microservices architecture to support scalable and flexible software development, enabling continuous integration and deployment (CI/CD) practices.
• Contributed to the user interface development using TypeScript and React, improving the overall user experience and system accessibility.
• Developed secure and scalable back-end systems with Java & Spring Boot and Typescript & Node.js enhancing the system's performance and reliability.
• Architected and built cloud infrastructure on AWS using Terraform, optimizing the operational efficiency and reducing development time for new features.
2019 — 2021
2019 — 2021
San Ramon, California, United States
• Developed back-end APIs of Annotation Service and framework code/backend APIs for Annotation Workflow based on Java & Spring Boot, Typescript & Node.js, Maven, JPA, DynamoDB, Microservices, AWS.
• Enabled customers to organize their annotation work into streamlined workflows whereby radiologists can individually or collaboratively annotate images and subject-matter-experts can subsequently review those annotations for quality.
• Contributed to the development of a platform that empowers data scientists to build deep learning algorithms at scale in GE Health Cloud, resulting in faster decision-making for clinicians and improved patient care.
• Enabled data scientists to train their machine learning algorithms on our AI platform, leading to improved diagnostic accuracy & efficiency.
• Developed backend features for image data annotation based on Spring Boot.
• Conducts code performance analysis and tuning
• JUnit for unit test and JBehave for component test.
• Developed UI features including 2D image viewer for image data annotation using HTML 5, CSS 3, TypeScrip.
• Developed responsive single page applications using React Router Module. Simultaneously, optimized the web applications for maximum speed and stability.
• Tested the site during development for usability and fixing if there are any bugs.
• Devops using AWS API Gateway, CloudFormation, etc.
• Worked in a fast-paced Scrum environment, an Agile methodology for software development.
2017 — 2019
Santa Clara, California, United States
Real-time deliverers location monitoring system for lunch delivery
• Implemented a real-time deliverers’ location monitoring system using Java, Spring Boot, Spring Data, Maven, JPA, MySQL, improving the efficiency of the delivery process
• Designed and implemented data persistence services and server-side RESTful APIs based on Microservices architecture.
• Developed the SBC system of IOT for lockers with warmer/fridge using Socket, Multi-threading.
Education
The University of Akron