King 7 Club Corp 
Senior Full Stack Software Engineer - Full Time • Jan 2025 - Present, Los Angeles, CA, United States
Developed and deployed a responsive website using Node.js for the frontend and FastAPI for the backend, with component-based architecture for modular scalability. Implemented dynamic UI with custom JavaScript logic and CSS animations to ensure a seamless user experience across devices and languages.
Hosted static assets via GitHub, containerized the full-stack environment with Docker, and deployed the application on AWS EC2, ensuring consistent and reproducible builds across development and production. Utilized PostgreSQL as the backend database to securely manage and store user data.
To optimize access for both international and Chinese users, implemented intelligent DNS-based traffic routing: international traffic is served through AWS Global Accelerator, while Chinese users are redirected to a mirror deployment on Alibaba Cloud. This global traffic segregation strategy reduced cross-region latency by up to 90%, significantly improving page load times and user experience across all target markets.
Integrated Google Analytics Reporting API to track traffic and user behavior, enabling the development of interactive dashboards to monitor key metrics such as page views and user engagement across platforms like TikTok, Red Book (Xiaohongshu), and YouTube. This real-time data integration streamlined reporting workflows and automated insight generation, improving backend operational efficiency by 80%.
Enhanced backend performance and frontend delivery using CDN and caching strategies, and structured API responses in JSON format for clean integration. CAC Auto Group LLC 
Software Engineer - Full Time • Feb 2024 - Dec 2024, Southborough, MA, United States
Developed and maintained a predictive pricing system for vehicles on CarGurus using AWS serverless architecture, enhancing market compatibility and streamlining operations. Leveraged key AWS services including S3, Lambda, DynamoDB, SNS, CloudWatch, and Kinesis, and used Python with AWS CloudFormation for scalable infrastructure deployment.
Designed and implemented a fully serverless data pipeline to continuously monitor target data sources using Kinesis streams and Lambda triggers, eliminating the need for traditional polling. This approach reduced infrastructure and processing costs by 80%, while maintaining high scalability and responsiveness.
Integrated real-time monitoring to track market data fluctuations, enabling automated detection and adjustment of vehicle prices in response to deviations. This solution boosted daily operational efficiency by 80% and improved pricing accuracy by over 50% compared to industry standards.AlpaLifeBio LLC 
Software Engineer of Data Engineer - Intership • Dec 2022 - Jun 2023, Woburn, MA, United States
Built and managed a robust AWS streaming data pipeline to automate biomedical data ingestion from multiple public databases into Kinesis Data Stream. This system processed over 500,000 data entries daily, using Lambda Functions for real-time data transfer and S3 and DynamoDB for efficient, scalable storage and retrieval. This architecture allowed seamless handling of high-volume data with minimized latency and reduced operational costs.
Configured and optimized a structured SQL database to integrate and process data from diverse biomedical sources. Implemented an efficient tag-processing system for enhanced search and retrieval operations, reducing data retrieval time by 80%. This improvement significantly boosted operational efficiency, making it easier to access and analyze critical information for downstream applications.
Applied advanced data matching algorithms and TF-IDF (Term Frequency-Inverse Document Frequency) techniques to perform data comparison and accurately identify potential client profiles with a 95% match rate. This methodology directly supported targeted marketing strategies by enabling precise identification of high-value clients within the biomedical field.
Enabled real-time notifications for data updates by setting up DynamoDB Streams to capture table modifications. Configured Lambda Functions to process these events and send automated alert emails through Amazon SES, enhancing response times by 30% and streamlining the data update workflow.Dutchgo LLC 
Software Engineer - Self-employed & Co-founder • Oct 2020 - Apr 2022, Omaha, NE, United States
Developed a customer demand analysis pipeline during the Covid-19 pandemic using AWS S3 for secure data storage and Lambda for serverless processing, combined with SQL and Python. Built and deployed a Random Forest model on AWS SageMaker to identify high-potential user profiles for conversion, achieving an accuracy of 98%. This automated approach saved considerable processing time and improved prediction accuracy for strategic marketing efforts.
Established a data ingestion and processing framework using AWS Glue to automate data ETL processes, enabling seamless integration of monthly customer market data from S3 into DynamoDB for structured storage. Employed SQL and Python to preprocess data and built a multiple regression model on SageMaker to predict revenue trends, achieving an 85% accuracy rate. This solution provided valuable insights for strategic decision-making regarding resource allocation and customer segmentation.
Analyzed user behavior patterns to inform UX design by employing Human-Computer Interaction (HCI) principles. Utilized Axure RP to create interactive software prototypes aligned with user behavior insights. Additionally, used AWS Amplify to deploy and test front-end prototypes rapidly, ensuring seamless integration with back-end data and enhancing user experience.
Constructed real-time monitoring dashboards using Tableau to track essential investment metrics, such as ROI (Return on Investment), growth rate, and portfolio balance. Integrated AWS Kinesis for real-time data streaming, enabling prompt anomaly detection and root cause analysis. This system provided stakeholders with actionable insights on data trends, supporting a 30% faster decision-making process for adjusting business strategies.
Set up AWS CloudFormation templates to manage and automate infrastructure provisioning, ensuring efficient resource management and scalability of the analysis system. Leveraged AWS IAM to implement robust access control, securing data and model resources across the team.Chatchup(Zhuiguang) Information Technology Co. Ltd 
Project Manager & Project Analyst • Jan 2019 - Sept 2020, Henan, Zhengzhou, China
Analyzed customer requirements to draft an activity diagram and outlined preliminary UML page functionality scenarios. Initiated the development of customized software (Web & App) tailored to customer needs.
Employed advanced SQL queries and Python to analyze over 50GB of market data on similar products, identifying customer usage patterns and business requirements.
Conducted exploratory data analysis on numerical, categorical, and time-series data using Matplotlib and Seaborn. Constructed multivariance Time Series Clustering model, DTW (Dynamic Time Warping) with Hierarchical clustering, on 120 features to group customers, segment market and described the clustering centroid by DBA (DTW Barycenter Averaging).
Trained market demand models, including Isolation Forest and Robust PCA (Principal Component Analysis), as well as Linear Models and Random Forests, to establish a system for identifying and responding to customers' potential requirements.
Constructed dashboards with Tableau to depict customer usage activities and submitted analytical reports to clients.Dell Inc 
IT Support Specialist • Oct 2013 - Oct 2015, Dalian, LiaoNing, China
Organized on-campus after sales technology support events for Dell products.
Improved reports procedures and saved five hours of manual work every week.
Managed an average of ten requests daily, creating and updating data elements on the Dell Campus platform.