Jordan Wong

Jordan Wong

Learn more about me

About

I'm a Computer Science and Cinema and Digital Media graduate from UC Davis with a GPA of 3.67/4.0. I combine my technical skills with creative thinking to build innovative applications and games that people actually want to use.

My passion lies in full-stack development, machine learning, and game development. I've worked on projects ranging from RESTful APIs and neural networks to Unity games and Flutter applications. When I'm not coding, you'll find me exploring new technologies or contributing to open source projects.

What excites me most is the intersection of technology and creativity. I'm always looking for new challenges that push me to grow as both an engineer and an innovator. Feel free to reach out to discuss any opportunities or just say hi!

Github logo

Github

Python logo

Python

JavaScript logo

JavaScript

C# logo

C#

Flutter logo

Flutter

Unity logo

Unity

Skills

Experience

Software Engineer

Breaking Hits

2024 - Present

Contributed to the user onboarding development of a cross-platform Flutter app with 10,000+ downloads. Maintained backend integrations for 100+ artists with Firebase and SQL-based relational databases to support real-time data synchronization and analysis. Designed and implemented dynamic UI components and gamified features to increase user retention.

IT Help Desk Analyst

UC Davis Letters and Science IT Department

2023 - 2024

Provided technical support to 900+ faculty and staff in the L&S department through ServiceNow. Resolved technical issues across Windows and macOS systems, including software installation, hardware troubleshooting, and network diagnostics. Managed system imaging and user access provisioning using Microsoft Active Directory and enterprise deployment tools.

DevLinks – RESTful Link Management API

Built and deployed a secure REST API supporting user registration, login, and authenticated CRUD operations for personal link collections. Implemented JWT authentication, route protection, and password hashing to ensure user data isolation and session security.

Node.jsExpressMongoDBJWTPostman
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Fish Identifier CNN

Preprocessed and augmented a dataset of 10,000+ fish images across 9 species using TensorFlow and Keras to improve model generalization. Designed and trained convolutional neural networks using dropout, normalization, and pooling, achieving 90% classification accuracy.

PythonTensorFlowKerasPandas
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Walking Talking Stick – Fullstack Blog Application

Designed and built a full-featured blog platform with Express and MongoDB, supporting user authentication, CRUD operations, and RESTful routing. Deployed using AWS Elastic Beanstalk and managed server provisioning with EC2.

Node.jsExpressMongoDBAWS EC2AWS Elastic Beanstalk
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Projects

Contact

Get in Touch

jordanhwong1@gmail.com
Milpitas, CA 95035
408-707-8317

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