**Peng Zhang**
Bellevue, WA
pengz7720@gmail.com | 206-538-8023
linkedin.com/in/peng-z-173442177

### HIGHLIGHTS
- **Programming Languages**: Java, C, Python, JavaScript, TypeScript, Kotlin, R
- **Frameworks & Tools**: Node.js, React, Spring Boot, Kubernetes, AWS, Google Cloud, Azure, MongoDB, MySQL
- **Skills**: Full-Stack Web Development, Back-End Dev, Unit Testing, Agile Methodologies, Database (SQL & NoSQL)
- Seeking a software engineer role to leverage expertise in scalable client/server apps, database optimization, and API integrations for innovative solutions.

### EDUCATION
**Northeastern University**, Seattle, WA
*Master of Science in Computer Science*, GPA: 3.9/4.0 | Sep 2022 – Dec 2024
- Core Courses: Web Development, Android Development, Large-Scale Parallel Data Processing, Machine Learning

**Shanghai University**, Shanghai, China
*Bachelor of Science in Business & Information Systems*, GPA: 3.6/4.0 | Sep 2016 – Jun 2020
- Core Courses: Object-Oriented Design, Data Structures & Algorithms, Operating System & Architecture

### PROFESSIONAL EXPERIENCE
**Khoury College of Computer Sciences**, Seattle, WA
*Research Assistant* | Apr 2024 – Present
- Led research on skin disease detection, collaborating with Prof. Divya Chaudhary and researchers.
- Improved diagnostic accuracy to 99.01% using TensorFlow, transfer learning, and GPU acceleration.
- Authored design documents and coordinated with medical experts for model validation.

**Linkfluence - Meltwater**, Shanghai, China
*Software Engineer Intern* | Apr 2021 – Aug 2022
- Designed AWS-based data pipelines, reducing indexing wait time by 40% via MongoDB migration.
- Processed 1.5B+ tweets using Hadoop and integrated data into AWS EMR.
- Drafted technical specs for social media trend analysis features.

**Tencent Holdings Ltd.**, Shenzhen, China
*Software Development Engineer Intern* | Feb 2021 – Apr 2021
- Developed an interactive Ads feature with Redis, cutting page load time by 40%.
- Built a K12 web app using React and Spring Boot, enhancing user experience.
- Scaled microservices via Kubernetes, improving system reliability by 50%.

### PROJECTS
**Distributed Restaurant Recommendation System** | Mar 2024 – Apr 2024
- Built a Hadoop/Hive pipeline on AWS EMR to analyze Yelp data, leveraging A-priori algorithms and LLMs.

**QuizMaster (Android App)** | Feb 2024 – Mar 2024
- Created a quiz app with Java, Firebase Auth, and JUnit testing for real-time synchronization.

**Beverage Review Platform** | Oct 2023 – Nov 2023
- Full-stack web app (HTML/CSS/Express.js) deployed on Google Cloud for Happy Lemon reviews.

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