Hello, I'm

Yu-Wei Chang

also known as eesoymilk

Pioneering embodied AI and VLA research at UCLA to bridge the gap between foundation models and physical world deployment. Architecting scalable systems that enable next-generation robotic autonomy.

About Me

Passionate about creating innovative solutions through cutting-edge technology and research.

Yu-Wei Chang profile photo

Hello! I'm Yu-Wei Chang

Pioneering embodied AI and VLA research at UCLA to bridge the gap between foundation models and physical world deployment. Architecting scalable systems that enable next-generation robotic autonomy and human-robot collaboration.

Based in Los Angeles, CA
5+ years of experience
15+ projects completed
0+

Projects Completed

0+

Years Experience

0+

Technologies Used

"I know I'm asking a lot, but the price of freedom is high, it always has been, and it's a price I'm willing to pay. And if I'm the only one, then so be it. But I'm willing to bet I'm not."

Research & Projects

Exploring the intersection of research and development through innovative projects and cutting-edge solutions.

completedRESEARCH
VisCoder Bench: Do Coders Need Eyes?

Developed VisCoder Bench, a standardized suite of 50 executable CV tasks (Geometric, Generative, Classical) to evaluate multimodal agents. Dockerized evaluation infrastructure on A100 GPUs, integrating 10+ CV pipelines with PSNR/mAP and VLM-Judge (87% human alignment). Analyzed 900+ trajectories, showing visual grounding improves geometric task success by 4.3x, exposing critical gaps in LLM reasoning. (Under Review, CVPR 2026)

2025-09 - 2025-11
1 member
Multimodal Agents
Computer Vision
Docker
A100 GPUs
VLM-Judge
LLM Reasoning
in progressRESEARCH
UCVLA: User-Conditioned Vision-Language-Action Models

Componentized architecture for personalized robot control using adapter conditioning on user embeddings for O(1) personalization.

2025-11 - Present
1 member
Vision-Language-Action
Isaac Sim
UR5e
Sim-to-Real
+3
in progressRESEARCH
EasyReach: Adaptive Robotic Arm Assistance for Wheelchair Users

Prompt engineering framework that analyzes user interaction videos to extract preferences, adapting robot behavior without retraining.

2024-09 - Present
1 member
Prompt Engineering
Video Analysis
Vicon
Unity
+3
completedRESEARCH
Open Source High-Throughput USB HID Programmer

Driverless USB HID firmware and custom packet protocol, optimizing flash write throughput to reduce programming time by 80%.

2022-09 - 2023-06
1 member
USB HID
Firmware
C++
C#
+2

Professional Experience

A journey through diverse roles and challenging projects that have shaped my expertise in software development and research.

Software Engineer (Contract)

Shin-Da Information Co., Ltd.

Taichung, Taiwan
2025-04 - 2025-09

Built a Python serverless backend on AWS, optimizing transaction latency and engineered an automated ETL data validation pipeline.

Software Engineer (Contract)

Marker X Biomedical Co., Ltd

Taipei, Taiwan
2024-03 - 2024-08

Architected a centralized PostgreSQL data lake and developed high-throughput analysis pipelines for mass spectrometry data.

Research Development and Software Engineer Intern

Industrial Technology Research Institute (ITRI)

Hsinchu, Taiwan
2023-07 - 2023-12

Engineered a RAG-based memory system for elder-care robots and deployed a multi-modal AI agent platform.

3+
Companies
5+
Years Experience
50+
Projects Delivered
15+
Technologies Mastered

Educational Journey

My academic foundation and continuous learning path that shaped my expertise in technology and research.

Master's Student

Electrical and Computer Engineering

University of California, Los Angeles

Bachelor's Degree

Electrical and Computer Engineering

National Tsing Hua University

Teaching Experience

Graduate Teaching Assistant

Neural Networks & Deep Learning (ECE C147/C247)

Academic Background

Formal education and key milestones

Master of Science

Electrical and Computer Engineering

2024-09 - 2026-06
University of California, Los Angeles

Cumulative GPA: 3.88/4.0. Graduate Teaching Assistant.

Academic Achievements

GPA: 3.88/4.0
Graduate Teaching Assistant, Neural Networks & Deep Learning (ECE C147/C247)
Managing a 500-student course, delivering weekly technical mentorship
Developing discussion modules, designing exams, and evaluating projects
Bachelor of Science

Electrical Engineering

2020-09 - 2024-06
National Tsing Hua University

Cumulative GPA: 4.04/4.3. Coursework: Computer Vision, Machine Learning, Deep Reinforcement Learning, Algorithms, Control Systems, Computer Architecture.

Academic Achievements

GPA: 4.04/4.3
Coursework: Computer Vision, Machine Learning
Coursework: Deep Reinforcement Learning
Coursework: Algorithms, Control Systems

Learning Philosophy

"Education is not just about acquiring knowledge, but about developing the ability to think critically, solve complex problems, and adapt to an ever-changing technological landscape."

Get In Touch

Have a project in mind or want to collaborate? I'd love to hear from you. Let's create something amazing together.

Let's Connect

I'm always interested in new opportunities, collaborations, and interesting projects. Feel free to reach out!

Email

eesoymilk@gmail.com

Location

Los Angeles, CA

Phone

+1 (310) 280-6463