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Resume

Experience

Jun. 2025 – Sep.2025

Intern, Software Developer 

Paradigm Study 

San Francisco, CA

  • Built and shipped end-to-end features in a React (Next.js) and TypeScript codebase, partnered with PM and designers, delivered 4 to 6 modules across admin dashboards, report triage, and community workflows from design to production release.

  • Improved data access performance by optimizing query paths with Drizzle ORM and adding Redis caching, reducing average response latency by 25% under load and increasing throughput.

  • Delivered analytics experiences for account management, exam data visualization, and progress tracking, improving usability and operational efficiency for internal stakeholders.

  • Automated incident and handoff workflows via Slack and Linear integrations across 3 to 5 scenarios, implemented safe retries and idempotency safeguards, instrumented key failure metrics in Prometheus and routed alerts to Slack to speed up detection and triage.

  • Added CI quality checks in GitHub Actions including lint, typecheck, and build verification to improve release reliability and support weekly release routines. Implemented basic unit and integration tests for critical flows and APIs to reduce regressions and improve release confidence, and containerized the web service with Docker with documented local run and deployment steps.

Jun. 2024 – Sep.2024

Intern, Software Developer 

Simple Creator Network Co., Ltd 

China

  • Developed a three-match puzzle game using TypeScript and the Cocos Creator 2.4.11 engine. Implemented levels with dynamic map loading and optimized the memory usage by reusing destroyed objects through the object pool

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  •  Implemented and optimized an A* pathfinding algorithm by using the Manhattan distance calculation to estimate the cost, and adjust the weight according to the different obstacle types in the game for efficient and accurate movement of in-game characters. Introduced a heuristic function and path caching to reduce pathfinding computation time by 30%, enhancing the performance in complex obstacle environments.

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  • Designed and integrated a coin reward system

Jun.2023 – Aug.2023

Software Developer Intern

Xiamen HDW Network Co., Ltd 

China

  • Developed and executed test plans for internal Python developer tools (build/packaging utilities, asset management scripts), partnering with engineers to triage failures and improve toolchain reliability.

  • Built automated smoke/regression checks with pytest + requests to validate build artifacts and critical API endpoints, added timeouts/retries and structured failure logs to speed up debugging and reduce manual verification.

  • Integrated CI checks into GitHub Actions including unit tests and static checks, improved code review efficiency and prevented regressions before merge.

Education

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New York University

New York, US

Master of Science,Computer Engineering

  • ​Awards: Scholarship for Academic Excellence​​

  • Relevant Coursework: Algorithm, Machine Learning, Deep Learning

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Xiamen University

Xiamen, China

Bachelor of Engineering, Digital Media Technology

  • Awards: Scholarship for Academic Excellence (Twice, Academic Year of 2021-2022, Academic Year of 2022-2023)​​

  • Overall GPA: 3.47/4.00 | Ranking: top 8%; Major GPA: 3.7/4.00​​

  • Relevant Coursework: Data Structures, Algorithms, Machine Learning, Game development, Database

Publication

01

Propensity Score Matching on Discrete Treatment:
Beijing PM2.5 Case Study

Description: • Estimated the propensity score of each quarter of the UCI Beijing PM2.5 dataset through the logistic regression model and support vector machine • Applied nearest neighbor matching and subclassification matching, and conducted PS matching analysis to explore the causal effect • Further explored the propensity score matching and causal effect on multi-level treatment

ICMVA 2022: The 5th International Conference on Machine Vision and Applications (February 2022, Pages 93–98)

02

Game Ai Evolution: Uniting Unity and Machine Learning for Enhanced Player Interaction and Experience

Description: • Explored the process and principle of training Game AI through reinforcement learning and imitation learning models • Designed and built a third-person shooter game using the Unity Game Engine and C++ to verify the effect of Game AI. And Using TensorFlow to observe the training result and adjust the parameter • Developed other two kinds of Game AI through Finite state machine and behavior tree to conduct a comparative analysis.

Entertainment Computing

03

Sentiment Analysis for Individual Business Decision Making based on Hotel Reviews

Description: • Data cleaning and preprocessing of hotel reviews using Pandas and Numpy, integration of multi-source data, and missing value filling, outlier detection, normalization, and type conversion of continuous and categorical variables for subsequent modeling • Extracted the sentiment score through text analysis, and classified the text according to sentiment score and Plutchik Psychological model • Based on sentiment analysis results, further proposed an innovative visualization model on Tableau to help business decision making

(IEREK) The 5th International Conference on Future Smart Cities

Professional skillset

C++, Java, Python

Android Studio

Machine Learning

Web Development

Game Development

MLops

Languages

English (proficient)

Chinese (native)

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