# Zheng Wu

> MCS at Rice University | Computer Science & Applied Mathematics at Vanderbilt University

Location: Santa Clara, California, United States
Profile: https://flows.cv/zhengwu

I'm a software engineer with 3+ years of experience specializing in backend systems and AI-driven applications. Skilled in Java and Python, I have built scalable APIs, implemented high-performance caching, and designed cloud-based infrastructures. My projects span e-commerce, content moderation, and ed-tech. I'm currently seeking a full-time Software Development Engineer (SDE) or Software Engineer (SWE) role to further apply my skills and contribute to meaningful projects.

## Work Experience
### Software Engineer @ NewsBreak
Jan 2025 – Present | Mountain View, California, United States

### Software Engineer @ Affekta
Jan 2024 – Jan 2024 | United States
• Designed and developed a cloud-based programming learning platform with Flask and React, boosting user engagement by 40% in just three months by delivering interactive, real-time code execution tailored for beginners.
• Engineered a secure RESTful API with Flask to manage code submissions and leveraged Azure Functions to execute Python code in a protected cloud environment.
• Optimized data retrieval by storing structured data (problem descriptions and IDs) in Azure SQL Server and unstructured data (test case samples and expected outputs) in Azure Blob Storage, which streamlined problem management and sped up code execution.
• Integrated OpenAI's GPT-3.5-turbo API to develop a real-time chatbot that offers problem-solving assistance, hints, and feedback directly in the browser, enhancing user engagement.

### Research Assistant @ Vanderbilt University Medical Center
Jan 2022 – Jan 2023 | Nashville, Tennessee, United States
Research Assistant at Vanderbilt University Medical Center Health Information Privacy Lab, advised by Professor Bradley Malin.

• Built and normalized over 180,000 EHRs (Electronic health record) training data with given patient information.
• Applied EMR-WGAN on built EHR data to train for best-case models and generated the corresponding synthetic dataset.
• Designed performance analysis metrics including dimension-wise and column-wise distribution, latent cluster analysis, medical concept abundance, clinical knowledge violation and feature importance.

### Research Assistant @ Vanderbilt University School of Engineering
Jan 2022 – Jan 2023 | Nashville, Tennessee, United States
Research Assistant at Vanderbilt University School of Engineering Computational Biology Lab, advised by Professor Maizie Zhou.

• Developed dynamic programming algorithms to identify the SNPs and structure variants in alleles with give BAM files
• Produced Variant Call Format files for 23 pairs of chromosomes and tested on the accuracy of the results by comparing to the reference DNA sequence
• Achieved a 93.8% precision score on detecting SNPs and structure variants

### Software Developer @ SkillUpIT
Jan 2022 – Jan 2022 | Toronto, Ontario, Canada
• Contributed to the development of the “Limited Time Promotion” and “Buy Now” features and significantly enhanced sales platform performance, increasing throughput from 500 QPS to 50,000 QPS by implementing Redis and RocketMQ.
• Implemented cache preheating for active promotions and accomplished the lock and inventory reversion using Redis and Lua script.
• Managed peak loads on the order service by asynchronously creating orders through RocketMQ and implemented the "Pay-Check & Cancel" feature by consuming delayed messages.
• Optimized the optimistic-lock approach when updating the inventory in the MySQL database with Repeatable Read isolation level. 
• Applied the principles of Domain Driving Design (DDD) to separate the order service into promotion, order, and payment processing microservices.

### Research Assistant @ Vanderbilt University School of Engineering
Jan 2021 – Jan 2022 | Nashville, Tennessee, United States
Research Assistant at Vanderbilt University School of Engineering, advised by Professor Kevin Leach and Yu Huang.

• Built the parsed tree of java source codes for the Funcom dataset (Java source code with corresponding machine-generated comments).
• Extracted the structural context features (range of method, control statements and etc.), syntactic context features (number of 
identifiers, modifiers and etc.) and semantic features of Java source codes.
• Evaluated and analyzed the importance of different extracted features of java source codes.
• Conducted a human study to learn the human understanding of machine-generated comments.

### Software Developer @ Business-Intelligence Of Oriental Nations Corporation Ltd.
Jan 2021 – Jan 2021 | Beijing, China


## Education
### Master's degree in Computer Science
Rice University

### Bachelor of Science - BS in Mathematics and Computer Science
Vanderbilt University

### Beijing National Day School


## Contact & Social
- LinkedIn: https://linkedin.com/in/zheng-wuasa
- Website: https://github.com/WayneWu01

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Source: https://flows.cv/zhengwu
JSON Resume: https://flows.cv/zhengwu/resume.json
Last updated: 2026-04-05