Matthew Zhong
Atlanta,GA
Summary
Offering solid understanding of programming principles and passion for learning in professional setting. Brings foundational computer science concepts and hands-on experience with Python and Java. Ready to use and develop coding and problem-solving skills in Software Developer with AI experience.
Overview
3
3
years of professional experience
Work History
Software Engineer Intern
UKG
09.2025 - Current
- Remediated 160+ critical vulnerabilities across Spring Boot applications to reduce exploitability risk by 60%.
- Built Claude Code agentic solution using Node.js server to integrate vulnerability scan that automates manual scan resolution and reduced fixing time by 2 hours.
- Enhanced Grafana dashboards with labels and real time alerting, improving tracking of failed device registration and push notification requests by 30%.
Software Engineer Intern
Principal Financial Group
05.2025 - 08.2025
- Improved query performance in AWS DynamoDB by adding a Global Secondary Index (GSI) on transaction IDs and GraphQL API scan, enabling 50 millisecond-scale response times in payment processing workflows.
- Improved observability and modernized across event processing AWS Lambda functions by integrating Cloudwatch exception alerts via AWS SNS and configuring a centralized log forwarder across log groups.
- Diagnosed and resolved latency issues of ∼40,000 daily events in earnings Lambda by conducting unit and load testing with Insomnia and JMeter which reduced processing time by 9 hours using thread pool executor.
- Designed and deployed an internal developer tool via the Principal Developer Portal using PocketBase, Docker, EC2, and S3, boosting developer onboarding and workflow efficiency by an estimated 30%.
Software Engineer Intern
Vennverse
06.2024 - 08.2024
- Employed LLM and generative AI in RAG framework to build advisor tool with Streamlit.
- Optimized an ingestion pipeline to extract and parse 800+ posts from CollegeConfidential and Reddit.
- Stored and queried data from vector datastore ChromaDB for semantic search, reducing payload by 50%.
Deep Learning Research Assistant
Clemson University
05.2023 - 08.2023
- Contributed to model and data validation included in a peer-reviewed publication in DOI:10.3390/s23136110.
- Preprocessed with feature scaling and zero-padding to train on 512-length sequence model.
- Co-developed deep learning pipeline using bidirectional LSTM networks with PyTorch to classify movement quality from IMU sensor data, achieving 90.8% task classification accuracy on ∼6400 movement trials.
Education
Bachelor of Science - Computer Science, People-Intelligence
Georgia Institute of Technology
Atlanta, GA12.2025
Skills
- Python
- Java
- HTML
- CSS
- JavaScript
- TypeScript
- SQL
- Go
- C
- Springboot
- GraphQL
- REST APIs
- React
- React Native
- MongoDB
- Firebase
- PostgreSQL
- Pocketbase
- Git
- Docker
- Kubernetes
- VS Code
- IntelliJ
- Splunk
- Grafana
- Postman
- Insomnia
- Jira
- Confluence
- AWS CDK
- Apache Kafka
- Redis
- Nodejs
- Express
- Numpy
- Matplotlib
- Pytorch
- Pandas
- Selenium
Timeline
Software Engineer Intern
UKG
09.2025 - Current
Software Engineer Intern
Principal Financial Group
05.2025 - 08.2025
Software Engineer Intern
Vennverse
06.2024 - 08.2024
Deep Learning Research Assistant
Clemson University
05.2023 - 08.2023
Bachelor of Science - Computer Science, People-Intelligence
Georgia Institute of Technology