Jacky Tang Email & Phone Number

Los Angeles, Ca, Us

Irvine, California, United States

New York, New York, United States

- Developed a social app connecting users through shared events, integrating a calendar-based plan-sharing module using React Native and Redux, supporting 1,000 active users with an impressive 800 QPS (queries per second).- Designed an event recommendation system with user relationship filters using Java Spring Boot, crafted a notification system with RESTful APIs, Firebase, and AWS SNS, and integrated a real-time chat system powered by Kafka and Redis, supporting 2,000 concurrent users and enhancing event participation by 20%.- Engineered a geospatial sorting and filtering event search feature with MongoDB indexing, optimizing query performance and supporting complex search criteria with fast responses.- Established a CI/CD pipeline with GitHub Actions for Docker builds and deployments on AWS EC2, utilizing AWS ECR for container storage and Nginx for load balancing, reducing release cycles by 50%.

Seattle, Washington, United States

Web Development

Jinan, Shandong, China

- Enhanced an ERP system's backend with Java within an Agile team, addressing issues like unauthorized actions, slow load times, and inconsistent data, while integrating scalable storage with AWS S3, leading to a 5% monthly growth in active users.- Developed a custom indexing solution to optimize synchronization between MySQL and Elasticsearch, boosting indexing throughput by 50% and reducing data lag.- Built a calendar interface using Vue.js and GraphQL in collaboration with UI/UX designers, enabling custom date selection for a better user experience.- Strengthened system stability by implementing unit, integration, and performance tests using JUnit and Mockito, raising code coverage from 75% to 90%, with load testing via JMeter.

Fullerton, California, United States

- Improved an AI-based vehicle detection algorithm with Python, achieving a 60% reduction in inference time through parameter tuning, and deployed it in backend services for real-time applications.- Automated data pipelines using Python, SQL, and Linux shell scripts, enhancing data ingestion, cleaning, and preprocessing for efficient model training.- Enhanced a vehicle expert chatbot’s accuracy by 30% using prompt engineering and large language models, deploying it seamlessly with Docker.

Master Of Science - Ms, Computer Science, 3.97

Core Coursework: Advance Algorithms Software Architecture Advance Software Process Modern Software Management Expert Systems Design Theory.

Bachelor Of Engineering - Be, Digital Media Technology, 3.56