Software Developer at Miniso USA

Developed a microservice-based project management system using FastAPI with RESTful APIs for task lifecycle management including creation, filtering, pagination, and archiving. Built an independent Sync Engine microservice consuming Kafka events to synchronize tasks in near real-time across distributed teams, enhancing scalability and modularity. Integrated GitHub Actions for automated CI/CD pipelines deploying Dockerized services in an AWS-like environment. Implemented a loop-prevention algorithm using unique hash and time-window idempotency checks, reducing manual sync errors by over 95% and rollback frequency by 40%. Developed an asynchronous Webhook Service streaming Kafka events to Lark with dynamic routing, retry mechanisms, and audit logging. Created a drag-and-drop dashboard UI connected to Task API for real-time task status updates, improving integration consistency and user experience.

Software Developer Intern at Skyline Dev Labs

Implemented a high-concurrency data pipeline using Apache Kafka and MongoDB for real-time stock data processing by partitioning Kafka topics per stock symbol and using MongoDB compound indexes. Improved system throughput by 40% and lowered query latency to sub-millisecond levels. Integrated Redis caching and designed batch API endpoints combining real-time data and AI-generated summaries via RESTful APIs using Node.js and Express.js. Developed event-driven data pipelines leveraging AWS S3 for storage and AWS Lambda for serverless processing to streamline workflows and reduce storage costs by 30%. Containerized Node.js APIs with Docker using multi-stage builds and Docker Compose to enable seamless scaling and reduce deployment time by 20%.

Software Developer at Alpezzo Inc.

Designed and implemented a scalable e-commerce platform with Django REST Framework backend and React frontend, integrating Django Channels WebSocket for real-time updates and OpenRouteService API for shipping management, reducing order status latency by 30%. Configured Kubernetes deployments and services for microservice management including payment APIs and product browsing frontend with ingress routing. Led a technical panel with UI/UX team to optimize Django API database queries using query profiler and caching decorators, streamlining dynamic advertisement recommendations and enhancing page load speed by 50%.

Software Developer (Intern) at Skyline Dev Labs

Built a real-time stock data platform using Kafka with a multi-tier storage design (S3/MongoDB/Redis) processing 1M+ records/min; achieved 200% capacity growth. Implemented AI-powered breaking-news analysis in Node.js on AWS Lambda; redesigned Kafka consumer and parallel Lambda execution, reducing JSON latency by 2s. Optimized prompt batching to reduce token usage by ~50%. Delivered millisecond stock price updates via Redis Pub/Sub and WebSocket.

Software Developer at Alpezzo Inc.

Developed a full-stack e-commerce platform using Django REST Framework and React SPA. Implemented JWT-based authentication with token refresh, HTTPS-only cookies, and rate-limiting. Deployed microservices on AWS EKS with Kubernetes and NGINX Ingress for auto-scaling and cost reductions (~25%). Improved content delivery via S3-CloudFront CDN; improved page load and API latency. Enhanced testing with pytest and Django TestCase.

Software Engineer (Intern) at Baidu Inc.

Developed a C++ CPU simulator for hardware testing (MIPS-style pipeline with cache/memory modules) to validate chip designs, reducing physical prototyping costs by $20K per iteration. Built a fault-injection framework to simulate memory and pipeline failures; deterministic debugging and 40% reduction in race-condition trace time. Optimized cache simulation and branch prediction for 25% throughput improvements. Used GDB/Valgrind and a chaos-testing framework for reliability.

Software Developer | Internship at Skyline Dev Labs

Developed a high-concurrency platform with real-time AI analysis and stock data. Built data platform using Kafka and multi-tier storage (S3, MongoDB, Redis), processing 1M+ records/min and enabling 200% capacity growth. Implemented AI feature for breaking-news analysis in Node.js on AWS Lambda, boosting AI API throughput with a rearchitected Kafka consumer and parallel Lambda execution, reducing JSON latency for sentiment and insights by ~2s. Optimized AI prompt batching to reduce token usage by ~50% and delivered millisecond-latency stock price updates via Redis Pub/Sub and WebSocket.

Software Engineer at Alpezzo Inc.

Developed a full-stack e-commerce platform using Django REST Framework for backend APIs and React for the frontend. Implemented secure authentication with JWT and HTTPS-only cookies, with token refresh and rate limiting. Deployed microservices on AWS EKS with Kubernetes and NGINX Ingress for auto-scaling and intelligent load balancing, reducing infrastructure costs by 25%. Improved content delivery with S3-CloudFront CDN, increasing page load speed by 50% and API latency by 40%. Added robust testing with pytest and Django TestCase to ensure API quality and data integrity.