Steve 莊祐祥 (Zhuang Yu Hsiang)

Software Developer & Data Analyst

Passionate software developer and data analyst with expertise in hyperspectral data analysis and machine learning. I specialize in creating innovative solutions that combine advanced data processing techniques with practical applications. My goal is to develop technologies that can solve real-world problems through effective data analysis and visualization.

Steve 莊祐祥 (Zhuang Yu Hsiang)

Projects

Hyperspectral Data Acquisition and Analysis Hyperspectral Data Acquisition and Analysis Hyperspectral Data Acquisition and Analysis

Hyperspectral Data Acquisition and Analysis

2024 Nov — 2025 Jan

Developed a comprehensive system for hyperspectral data processing and analysis, enabling real-time visualization and extraction of spectral signatures. Created machine learning models to classify materials and detect anomalies from hyperspectral imagery.

Technologies:
Python TensorFlow ENVI
Methods:
Deep Learning Spectral Analysis Feature Extraction
AI robotics command platform for Android and website AI robotics command platform for Android and website

AI robotics command platform for Android and website

2025 Jan — 2025 Feb

Designed and implemented an AI-powered robotics command platform for Android devices. The platform allows users to control robots using commands and monitoring, with real-time feedback and monitoring capabilities.

Technologies:
Python Java Gradle JavaScript Node.js
Methods:
Robotic Control Real-time Communication UI/UX Design Web Development Rtmp server
Distributed structure for training in AIoT devices

Distributed structure for training in AIoT devices

Distributed structure for training in AIoT devices

2023 Sep — Present

Developed a distributed structure which consists cloud, edge, on-devices for training AI models on IoT devices, enabling real-time data processing and analysis. The project involved creating a scalable architecture for distributed training and inference on edge devices.

Methods:
Network Address Translation (NAT)
Deep Learning based Visual Simultaneous Localization and Mapping for a Mobile Robot Deep Learning based Visual Simultaneous Localization and Mapping for a Mobile Robot Deep Learning based Visual Simultaneous Localization and Mapping for a Mobile Robot Deep Learning based Visual Simultaneous Localization and Mapping for a Mobile Robot

Deep Learning based Visual Simultaneous Localization and Mapping for a Mobile Robot

2022 — 2023

Developed a deep learning-based visual SLAM system for a mobile robot, enabling real-time localization and mapping in dynamic environments. The system utilized a combination of deep neural networks and traditional SLAM techniques to achieve high-precision localization and mapping.

Technologies:
C++ CUDA OpenCV Python
Methods:
Image Processing Robotic Operate System Computer Vision Object Detection

Experience

Go to the conference ARIS paper to present paper

Go to the conference ARIS paper to present paper Go to the conference ARIS paper to present paper
• Sep 1 2023

Present conference paper in English

Cooperative with international classmates to complete the project

Cooperative with international classmates to complete the project Cooperative with international classmates to complete the project
• Feb 2023 — Jun 2023

Leading a team of several international students to complete the project

Key Achievements:
  • The project was completed on time and the quality was excellent
  • Write a paper on the project and submit it to the conference
  • Enhanced the ability to communicate with international students

Education

National United University

Bachelor of Science, Mechanical Engineering • 2018 Sep — 2022 Jun

Grade: GPA 3.80 rank in class 2

National Taiwan University of Science And Technology

Master of Science • Sep. 2022 — Jan. 2025

Grade: GPA 4.20

Skills

Data Science & Machine Learning

Expert in data analysis, machine learning algorithms. Proficient in developing and deploying ML models for classification on mobile robot.

Programming Languages

Proficient in Python, MATLAB, and JavaScript for software development, data analysis, and servers.

Hyperspectral Imaging & Remote Sensing

Specialized in hyperspectral data acquisition, processing, and analysis. Experienced in developing algorithms for feature extraction and classification of spectral imagery.

Web Development

Skilled in front-end and back-end web development using modern frameworks Node.js. Experience in creating interactive data visualization dashboards.

Interests