Matthew Hsieh | Digital Twin Engineer

About Me

Transforming Manufacturing with Digital Innovation

From quiet lab researcher to spotlight technical evangelist in less than 6 months

Digital Twin Expertise

Specialized in digital twin technology development and intelligent factory solutions, using NVIDIA Isaac Sim for complex industrial process simulation and AWS IoT platform integration to assist manufacturing digital transformation.

Educational Journey

Academic Path: Taipei First Girls' High School Science Class → NTHU Industrial Engineering (left due to health reasons) → Tatung Computer Science → NYCU AI Master's

Professional Philosophy

Committed to bridging the gap between R&D and practical applications. I believe that technology should not just be impressive in labs, but should solve real-world problems and create tangible value for customers.

Technical Skills

Core Competencies

From simulation to cloud integration, full-stack industrial solutions

Digital Twin & Simulation

NVIDIA Isaac Sim, PhysX, Matlib

Robotics Technology

ROS/ROS2, Path Planning, SLAM, Robotic Arm Control

Cloud & IoT

AWS IoT Core, Lambda, EC2, S3, MQTT, Time Series DB

Programming

Python, C++, JavaScript, Docker, Linux

Data Analysis

TensorFlow, PyTorch, OpenCV, NumPy, Pandas

Industrial Automation

PLC Programming, SCADA, OPC-UA, Modbus

Professional Journey

Experience & Achievements

A surreal journey from newcomer to global exhibition lead in under 6 months

2024 - Present

Senior Engineer

Pegatron Corporation

1+ Years

An Unexpected Journey: From initial technical feasibility assessment, serving as PM during development, to personally standing on the GTC exhibition floor. Specialized in NVIDIA Isaac Sim digital twin technology development and AWS IoT cloud integration, assisting manufacturing digital transformation.

🎯

Deep Engagement with Spencer Huang

Detailed project presentation for 10+ minutes to Spencer Huang, receiving high praise and anticipation

📰

Nikkei News Feature Story

Team's work featured in Nikkei News as one of the highlights at Computex

🚀

GTC to Computex Evolution

Complete journey from "showcasing innovation vision" to "practical value transformation"

Global Exhibition Showcase: From Innovation to Implementation

Leading technical demonstrations at world's premier technology events

🔥 Innovation Showcase

NVIDIA GTC 2025

March 2025 • San Jose, CA

Technical Demonstration

Exhibition Highlights

PEGAVERSE JEDI

Technology Display

Global Developer

From Lab Researcher to Tech Evangelist

First-hand experience of the gap between R&D and practical applications. Learned how to clearly articulate technical value and create compelling demonstrations that make even disinterested visitors stop and engage.

Spencer Huang Deep Dive

Technical Innovation Recognition

Comprehensive Exhibition Experience

💎 Commercial Implementation

Computex 2025

May 2025 • Taipei, Taiwan

Home Advantage

From Demo Models to Business Intent

Witnessed JEDI and YODA evolve from exhibition demonstrations to commercial collaboration opportunities. Featured in Nikkei News, captured memorable moments with "Batman himself," completing a comprehensive journey from technology to product to sales.

Nikkei News Feature

Commercial Partnerships

Industry Impact

Featured Work

Projects & Research

From academic research to practical applications, showcasing innovation across domains

Master's Research

Synthetic Data Generation using Conditional Normalizing Flows

Master's thesis research exploring the use of Conditional Normalizing Flows technology to generate high-quality synthetic data, focusing on data upsampling, outlier highlighting, and objective evaluation of generated data quality.

Machine Learning Normalizing Flows Python Deep Learning

View Thesis

Personal Project

Stock Analysis & Backtesting System

Comprehensive Python-based stock analysis and strategy backtesting system supporting multiple technical indicators, trading strategy backtesting, and performance visualization analysis.

Python Pandas Matplotlib Financial Analysis

GitHub

University Project

Autonomous Campus Patrol Vehicle

University project developing an autonomous patrol vehicle integrating ROS system, people detection, remote monitoring, and web control interface for intelligent patrol functionality.

ROS Python PHP Computer Vision