Junjie Qu

Migrated 10+ legacy C# services into Java microservices on serverless architecture, designing both HTTPtriggered and cron-scheduled execution paths to deliver reliable, scalable functionality for 180,000+ active clients. Designed and built a backend service integrating Mambu and Dash Solutions to support loan disbursements to prepaid debit cards, processing $1M+ in transactions using a database-backed idempotency layer to guarantee financial accuracy. Built and maintained CI/CD pipelines using testing and deployment automation to promote services to QA and Production, securing secrets with Azure Key Vault and implementing centralized logging and analytics to detect and resolve issues early

Designed a centralized Maven library of reusable API clients with preconfigured endpoints and shared enums for API-specific filter requirements and required fields, reducing code duplication by 70% across services. Designed and built an internal web-based automation portal using Spring Boot that replaced repetitive, GUIheavy operational tasks with one-click workflows, significantly reducing manual effort and improving ticket closure rate by 65%. Established the first API documentation for 20+ internal services by authoring end-to-end Confluence docs with architecture diagrams and troubleshooting guides, creating a single source of truth for the team.

Boosted user retention by 40% and elevated user engagement by 30% through a strategic redesign of onboarding page using Formik. Employed visual cues like colors and section highlights to create an intuitive UX. Optimized legacy codebase of 2000 lines down to 600 lines using DRY principles, enhancing readability and scalability through use of React components. Increased platform partnerships by 25% and fortified user data security by spearheading development of two-factor authentication system and its interface.

Collaborated with OpenAI to enhance GPT/Bard model performance, increasing overall accuracy by 20% and reducing error rates by 15%. Improved model accuracy to 98% alignment with validation sets by employing reinforcement learning techniques for targeted feedback on GPT/Bard models. Refined the model's solution-generating capabilities by training it with over 50 tested and verified coding challenges, accommodating various user input scenarios. Enhanced model accuracy by providing targeted feedback on over 500 AI-generated code snippets, resulting in a 15% improvement in response relevance.

Demonstrated expertise in appliance products and their features, providing exceptional customer service and assisting customers in making informed purchasing decisions. Successfully exceeded sales targets through effective product knowledge, persuasive communication, and building lasting relationships with customers. Collaborated with cross-functional teams to ensure timely and accurate delivery of appliances, ensuring customer satisfaction and repeat business.

Efficiently managed front office operations, including greeting visitors, answering phone calls, and addressing inquiries, resulting in a professional and welcoming environment for students, faculty, and staff. Assisted in scheduling appointments, coordinating meetings, and maintaining appointment calendars, optimizing time management and ensuring smooth workflow for the department. Provided administrative support by organizing files, preparing documents, and assisting with data entry tasks, contributing to improved efficiency and accuracy in record-keeping processes.