Zinan Guo

Full Stack Developer

I build things.

End-to-end web applications with cloud infrastructure - frontend, backend, and everything in between.

I like making systems faster and more reliable.

About

Hello! I'm a passionate Full Stack Developer with a Master's in Computer Science from Texas A&M University(3.94 GPA).

My journey in tech started at the University of Twente in the Netherlands, where I graduated Cum Laude with a Bachelor's in Technical Computer Science (3.93 GPA). Since then, I've had the privilege of working at Tencent (one of the world's largest tech companies), a meteorological technology company, and currently as a Software Application Developer II at Texas A&M's Veterinary Medical Diagnostic Laboratory, processing 1M+ tests annually for clients across all 50 states.

I specialize in building complete end-to-end systems, from intuitive frontends to secure backend infrastructure. My work includes event registration platforms with integrated PCI-compliant payment processing, automated data warehouses using AWS services, and real-time monitoring systems with alerting—delivering solutions that automate 250+ hours of manual work annually and reduce fault detection time by 99%.

Location

College Station, TX

Status

Recent Graduate

Current Role

Software Application Developer II

Focus Areas

Full Stack & Data

Technologies I work with:

Languages

PythonJavaGoTypeScriptJavaScriptSQL

Frontend & Frameworks

ReactVue.jsNext.jsAngularTailwind CSS

Backend & Infrastructure

FastAPIFlaskSpring BootGingRPCSQLAlchemyAWSAzureDockerGitHub ActionsNginxMySQLPostgreSQLMongoDB

Experience

Software Application Developer II

Texas A&M Veterinary Medical Diagnostic Laboratory
Jul 2025 – PresentCollege Station, TX

Leading development of a comprehensive Event Registration System with React/Vite frontend and Python/FastAPI backend, featuring PCI-compliant payment processing through Bluefin PayConex integration. Automated workflows that previously required 3-4 hours of manual processing per event, saving 100+ hours annually, while implementing CI/CD pipelines and database-level locking for concurrent registrations.

🎯80% faster registration processing, saving 100+ hours annually
ReactVitePythonFastAPIAzureDockerGitHub ActionsMySQLSQLAlchemyNginx

Student Assistant (Software Application Developer)

Texas A&M Veterinary Medical Diagnostic Laboratory
Oct 2024 – May 2025College Station, TX

Spearheaded the design and implementation of a comprehensive data warehouse solution using Python and AWS services (S3, Glue, Lambda) to automate the laboratory's financial reporting workflows. Built ETL processes that reduced report generation time from 3 hours to under 5 minutes (97% reduction), eliminating 150+ hours of annual manual work while enabling data-driven decision-making.

🎯97% faster reporting and saved 150+ hours annually
PythonMySQLAWSS3GlueLambdaPower AutomatePower AppsETL

Software Engineer Intern (Full Stack)

Tencent Technology (Shenzhen) Co., Ltd
May 2024 – Aug 2024Shenzhen, China

Designed and implemented a full-stack process monitoring system using Go/Gin with tRPC framework for the backend and Vue.js/TypeScript with TDesign Enterprise Design System for the frontend. The system enables real-time server process monitoring with automatic alerting, reducing fault detection time from 1-2 days to under 10 minutes and was adopted by Tencent's Technology Engineering Group.

🎯Reduced fault detection time from 1-2 days to <10 minutes
GoGinVue.jsTypeScriptMongoDBtRPCRESTful API

Software Engineer Intern

Beijing HuayunShangtong Technology Co., Ltd
Jan 2024 – Apr 2024Beijing, China (Remote)

Developed a Java/Spring Boot-based verification system to ensure meteorological data tile integrity using dual verification methodologies (metrics comparison and PNG visualization). Created customizable visualization tools for user-friendly map comparisons and integrated the system with Apache IoTDB, improving data discrepancy identification efficiency by 40% while significantly enhancing results clarity.

🎯Improved data discrepancy identification efficiency by 40%
JavaSpring BootApache IoTDBRESTful APIData Visualization

Projects

Peer Review Scheduler

Project Lead
Feb 2023 - Apr 20236 members

A full-stack web application built with Python/Flask backend and AngularJS/TypeScript frontend that automates peer review scheduling for academic courses using constraint satisfaction algorithms. Led a 6-member team to reduce manual scheduling time by 97% (from 15-30 minutes to under 10 seconds) while eliminating human error, handling 500+ students per semester with zero scheduling conflicts.

Reduced scheduling time by 97%Handled 500+ students per semesterZero scheduling conflicts
PythonFlaskAngularJSZ3 Theorem ProverREST APIMVCTypeScript