Hello, my name is

Jr-Cheng(Louis) Chiang

I turn data into insights and build scalable solutions.

I'm a software and devops engineer with experience in building data pipelines, managing databases, and implementing cloud infrastructure. With a focus on automation and scalability, I help organizations leverage their data efficiently.

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My Expertise

Data Processing

Designing and implementing efficient data pipelines for batch and real-time processing.

GraphQL
Node.JS
Microservice

Database Management

Managing relational and NoSQL databases with a focus on performance and reliability.

Microsoft SQL Server, PostgreSQL, MySQL
MongoDB, FireStore

Cloud & DevOps

Building and maintaining cloud infrastructure with CI/CD pipelines and automation.

AWS
Docker, Kubernetes
Terraform
CI/CD (GitLab CICD)

Work Experience

Jul 2023 - Aug 2024

[DevOps & Full Stack]

Full Stack Engineer

Smartsoft, Ltd., Taiwan

Reduced update error rates by 20% by implementing automated script updates and version control modules in C# for ASP.NET WebAPI projects.
Reduced release time by 83% by designing a tailored DevOps workflow and implementing an automated GitLab CI/CD pipeline.
Increased installation and boot efficiency by 50% by transforming the product to multiple Docker images across 10+ different companies.
Managed enterprise private cloud resources with VMware ESXI, ensuring secure configuration of resources and network infrastructure.

Feb 2023 - Jun 2023

[Data Processing]

Backend Developer Intern

West Pharmaceutical Services Asia, Ltd., Taiwan

Developed a real-time anomaly detection algorithm that reduced data errors by 30%, enhancing large-scale data accuracy.
Analyzed real-time data across 25 global factories by developing a robust backend API using GraphQL, Node.js, PostgreSQL, and microservice architecture.

Jan 2021 - Jun 2021

[App Dev]

Flutter Engineering Intern

Smartsoft, Ltd., Taiwan

Served 10+ enterprises, including Fortune 500 companies, by developing hybrid cross-platform apps in Flutter.
Achieved a 15% increase in app downloads and a 32.17% higher conversion rate compared to competitors.

Featured Projects

DNS Anomaly Detection System

Developed an ML-based DNS anomaly detection system with InfoBlox, achieving 99.84% accuracy and reducing false positive rates by 81% through a two-layer architecture with LLM and VirusTotal integration.

Machine Learning • Keras • LLM • VirusTotal

AcuVision - TCM Training System

Led development of a Mixed Reality TCM training system using Azure NLP and HoloLens, featuring real-time acupoint detection and intelligent medical assistance. Won multiple awards including 2 gold medals.

HoloLens • Unity • C# • Azure LUIS

Case Study

Sit Properly - Posture Detection

Developed an AI-based web application for real-time sitting posture detection using Google PoseNet Algorithm. Won first place in school-level competitions and third place nationally.

PHP • PoseNet • Computer Vision • AI