Hue Jonghyuk Park, Developer in Leander, TX, United States
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Hue Jonghyuk Park

Software Developer

Leander, TX, United States

Toptal member since March 30, 2026

Bio

Hue is a full-stack engineer who builds scalable web and cloud apps. He specializes in TypeScript, React, and back-end systems, delivering clean, reliable solutions. Hue consistently improves performance, maintainability, and overall user experience in production environments.

Portfolio

Amazon Web Services (AWS)
Java, JavaScript, TypeScript, Ruby on Rails (RoR), Python
Clothing Tech
C#, C++, Python

Experience

  • C++ - 6 years
  • C# - 6 years
  • MacOS - 5 years
  • TypeScript - 5 years
  • AWS IoT - 4 years
  • Python - 3 years
  • JavaScript - 3 years
  • Java - 3 years

Preferred Environment

Windows, MacOS, TypeScript, C#, C++, Python, AWS IoT

The most amazing...

...production apps I've built and scaled end-to-end spanned architecture to deployment and served real users reliably.

Work Experience

Software Engineer

2022 - 2024
Amazon Web Services (AWS)
  • Maintained front-end and alarm pipelines, improving system reliability and reducing incident response time.
  • Designed and implemented API features, enhancing system flexibility and supporting new use cases.
  • Debugged and resolved security and test issues, improving system stability and deployment success rate.
Technologies: Java, JavaScript, TypeScript, Ruby on Rails (RoR), Python

Lead Software Engineer

2019 - 2022
Clothing Tech
  • Led development of a 3D garment simulation system, improving design accuracy and reducing iteration time.
  • Built a multi-threaded garment generation pipeline, increasing processing speed and system efficiency.
  • Designed and implemented scalable GDT models, improving workflow consistency and product quality.
Technologies: C#, C++, Python

Experience

Garment Digital Twin

https://www.clothingtech.com
A next-generation system for defining garments with full dimensional accuracy. By digitizing product design into a 3D environment, the platform enables precise fit across all sizes and greater control throughout manufacturing. Designs are preserved as reusable digital assets, supporting continuous iteration and scalability.

The system reduces repetitive design and administrative tasks, allowing teams to focus on creativity while accelerating time-to-market. Automated workflows and real-time updates ensure consistency and efficiency across the entire design process.

I led UI/UX and 3D algorithm teams, designed and owned system architecture, defined product direction and technical solutions, implemented core features for 3D garment generation, and optimized performance with multi-threaded processing. I also collaborated with cross-functional stakeholders.

Amazon Elastic Container Service (ECS)

https://aws.amazon.com/ecs/
Amazon ECS is a fully managed container orchestration service that enables teams to build, run, and scale containerized applications without managing infrastructure. It improves availability, reliability, and performance while enhancing security through workload isolation, IAM integration, and automated patching. With efficient resource utilization and pay-as-you-go pricing, ECS reduces operational overhead and total cost, allowing teams to focus on delivering business value.

I designed and deployed containerized services on Amazon ECS and built CI/CD pipelines for automated build, test, and deployment. I implemented scalable microservices with load balancing and service discovery, configured IAM roles, networking, and security best practices, optimized cost and performance through task sizing and auto-scaling, and monitored system health using AWS observability tools. This project involved collaborating with cross-functional teams to ensure stable releases.

Skills

Tools

Amazon Elastic Container Service (ECS)

Languages

TypeScript, C#, C++, Python, Java, JavaScript

Platforms

Windows, MacOS, AWS IoT

Frameworks

Ruby on Rails (RoR)

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