~/eesoymilk
Yu-Wei Chang
@eesoymilk
Los Angeles, CA

Yu-WeiChang

> robotics & ML engineer Los Angeles, CA

MS ECE at UCLA. I work on vision-language-action models, robot learning, and prototypes that probe how policies should adapt to individual users — from Isaac Sim to a UR5e deployment.

open to robotics swe · mle · swe rolesscroll
01now

I build robots that learn from people, not just demonstrations.

MS ECE at UCLA, working at the intersection of foundation models and physical hardware. The thread across my projects: making robot policies adapt to a specific user — their handedness, their pace, their accessibility needs — without retraining the whole model.

Before grad school I shipped backends for biomedical labs, gov't healthcare exchange, and elder-care robotics. I like systems that survive contact with the real world.

  • research

    UCVLA @ NECL

    $\mathcal{O}(1)$ personalization for VLA foundation models — RDT-2, π₀, Diffusion Policy.

    Prof. Jonathan Kao

  • research

    EasyReach @ HiLab

    Adaptive robotic-arm assistance for wheelchair users. Vicon + UR5e + VLM-driven preference inference.

    Prof. Yang Zhang

  • teaching

    TA — ECE C147 / C247

    Neural Networks & Deep Learning. 500-student course: discussions, exams, projects.

    UCLA

02research

Selected projects.

  1. 01● active

    UCVLA: User-Conditioned Vision-Language-Action Models

    O(1) personalization for robot foundation models via per-user bias vectors.

    advisor Prof. Jonathan Kaolab UCLA Neural Engineering and Computation Labwhen nov '25 → present
    • Validated per-user embedding divergence, measured by cosine similarity, by finetuning RDT-2 FM with frozen-backbone per-user bias vectors bub_u.
    • Architecting O(1)\mathcal{O}(1) personalization across π0\pi_0, RDT-2, and Diffusion Policy by injecting bub_u at conditioning points, outperforming O(N)\mathcal{O}(N) LoRA.
    • Developing zarr-to-LeRobot/WebDataset pipelines and collecting 200-trial/user data via handheld UMI hardware to scale across 8–10 participants.
    • VLA
    • RDT-2
    • π₀
    • Diffusion Policy
    • PyTorch
    • UMI
    • LeRobot
    • WebDataset
  2. 02● active

    EasyReach: Adaptive Robotic Arm Assistance for Wheelchair Users

    Prompt-driven preference extraction for accessible robot behavior without retraining.

    advisor Prof. Yang Zhanglab UCLA HiLabwhen sep '24 → present
    • Developing a prompt engineering framework that analyzes user videos to extract preferences for accessible robot behavior without retraining.
    • Deployed a Vicon motion-capture pipeline with <5 mm tracking precision, achieving real-world object retrieval on the physical robotic arm.
    • Prototyped kinematic feasibility in VR (Unity, Meta Quest 2), running 500+ reachability scenarios and reducing physical testing time by ~80%.
    • Vicon
    • Unity
    • Meta Quest 2
    • ROS 2
    • MoveIt
    • UR5e
    • VLM
  3. 03○ completed

    VisCoder Bench: Do Coders Need Eyes?

    Benchmarking visual grounding for multimodal coding agents on 50 executable CV tasks.

    advisor Prof. Achuta Kadambilab UCLA Visual Machines Groupwhen sep '25 → nov '25
    • 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 4.3× — exposing critical gaps in LLM reasoning.
    • VLM
    • Docker
    • A100
    • OpenCV
    • PyTorch
    • Multimodal Agents
  4. 04○ completed

    Open Source USB HID Programmer for 8051 & AVR

    Driverless cross-platform flashing toolchain shipped to 200+ embedded students.

    at National Tsing Hua Universitywhen sep '22 → jun '23
    • Engineered a driverless USB HID firmware and custom packet protocol, optimizing flash write throughput to reduce programming time by 80%.
    • Deployed a cross-platform toolchain (C++/C#) adopted as production tooling for 3 undergraduate embedded systems courses (200+ students).
    • C++
    • C#
    • USB HID
    • 8051
    • AVR
    • Embedded
03experience

Industry work.

  1. apr '25 sep '25
    Taichung, Taiwan

    Software Engineer (Contract)Shin-Da Information Co., Ltd.

    • Built a Python serverless backend on AWS (Lambda, API Gateway), optimizing transaction latency by 35% to support 50+ enterprise clients in Q1.
    • Engineered an automated ETL data validation pipeline, which accelerated processing throughput by 40% and eliminated manual entry errors.
    • Led a 6-week initiative to architect and deploy a fault-tolerant automation platform, driving daily operations for 50+ staff members.
    • Python
    • AWS Lambda
    • API Gateway
    • ETL
    • PostgreSQL
  2. mar '24 aug '24
    Taipei, Taiwan

    Software Engineer (Contract)Marker X Biomedical Co., Ltd.

    • Architected a centralized PostgreSQL data lake unifying mass spectrometry and experimental datasets, replacing fragmented legacy storage.
    • Developed high-throughput analysis pipelines that reduced data processing latency by 90%, accelerating research iterations from days to minutes.
    • Scaled backend infrastructure to manage 10,000+ sensitive records with 100% data integrity, ensuring high availability for 30+ scientists.
    • PostgreSQL
    • Python
    • Mass Spectrometry
    • Backend
  3. jul '23 dec '23
    Hsinchu, Taiwan

    Research Development & Software Engineer InternIndustrial Technology Research Institute (ITRI)

    • Engineered a RAG-based memory system and fine-tuned PyTorch NLP models for elder-care robots, achieving 90% intent recognition.
    • Deployed a multi-modal AI agent platform with LangChain and DALL·E 3, automating generative AI workflows for 200+ staff.
    • Designed a high-concurrency Go backend for a national-scale distributed DB, securing record exchange for Taiwan's National Health Insurance.
    • Go
    • PyTorch
    • LangChain
    • RAG
    • Distributed Systems
04education

School.

  1. sep '24 expected jun 2026
    gpa 3.88 / 4.0

    M.S.Electrical and Computer EngineeringUniversity of California, Los Angeles

    • Graduate Teaching Assistant — Neural Networks & Deep Learning (ECE C147/C247).
    • Manage a 500-student course: weekly technical mentorship, discussion modules, exam design, project evaluation.
  2. sep '20 jun '24
    gpa 4.04 / 4.3

    B.S.Electrical EngineeringNational Tsing Hua University

05stack

What I work with.

// languages
  • Python
  • C++
  • CUDA
  • Go
  • TypeScript
  • Rust
  • C
  • C#
  • SQL
  • Bash
// ml & robotics
  • PyTorch
  • VLA
  • VLM
  • Diffusion Policy
  • Imitation Learning
  • Transformers
  • HuggingFace
  • OpenCV
  • TensorFlow
  • ROS 2
  • Isaac Sim
  • MuJoCo
  • MoveIt
  • URDF
  • SLAM
  • Vicon
  • UR5e
  • Franka FR3
  • Unity (Sim-to-Real)
// systems & tooling
  • Docker
  • Linux
  • Git
  • AWS (Lambda · EC2 · API Gateway)
  • Kubernetes
  • PostgreSQL
  • Redis
  • Vector Databases
  • gRPC
  • LangChain
  • RAG
  • Agents
  • OpenAI / Anthropic APIs
  • MCP
  • A100 GPUs
  • W&B
  • MLflow
  • CI/CD
  • Neovim
06contact

Say hi.

I'm wrapping up my MS in mid-2026 and looking for robotics SWE / MLE / SWE roles. Best way to reach me is email.