SHUNYU YU

Electrical Engineering

I AM BORN. I FADE. I JUDGE.

Embedded Systems | AI & Machine Learning | Full-Stack Development

ABOUT

SHUNYU YU · EMBEDDED SYSTEMS · AI & COMPUTER VISION · I AM BORN · I FADE · I JUDGE · FULL-STACK DEV · IoT SYSTEMS ·

Hi, I'm Shunyu Yu, a software developer specializing in embedded systems and machine learning. I build technology solutions that bridge hardware and software, with a focus on healthcare, safety systems, and IoT applications.

My work combines embedded systems programming with modern AI/ML techniques to solve real-world problems in healthcare, safety, and environmental monitoring.

Beyond coding, I'm an avid short to mid-distance runner and enjoy reading and writing about tech and cultural analysis. I also contribute to open-source projects and explore emerging technologies.

Focus Area

Embedded Systems & Machine Learning

Skills & Expertise

Embedded Systems

Computer Vision & AI

Python

C/C++

Arduino & ESP32

YOLOv11 & OpenCV

FastAPI & RESTful APIs

IoT Systems

Full-Stack Development

I AM BORN. I FADE. I JUDGE.SHUNYU YU

EXPERIENCE

EXPERIENCE · PROFESSIONAL JOURNEY · EMBEDDED SYSTEMS · WATERLOO · CAREER · WORK HISTORY ·
01MAR 2026
MAY 2026

Machine Learning Mentee

/ RBC Borealis·Toronto, Ontario, Canada

Fine-tuned a CLAP audio-language model on 33,813 bird audio-text pairs across 502 species for natural-language retrieval, owning the full data and evaluation pipeline and reaching a 21x improvement over base CLAP with zero-shot generalization to unseen species.

PythonPyTorchLAION CLAPHugging FaceGPT-4 RAGContrastive Learning
02JAN 2026
PRESENT

Embedded Software Developer

/ Waterloo Aerial Robotics Group (WARG)·Waterloo, ON

Developing software-in-the-loop simulation frameworks and flight control systems for fixed-wing UAVs.

SimulinkMATLABC/C++Flight Control Systems6-DoF DynamicsPID ControllersEmbedded SystemsUAV SystemsSoftware-in-the-Loop (SIL)
03JAN 2026
APR 2026

QA & R&D Engineering

/ Redstone Food Group·Mississauga, Ontario, Canada

Proposed and built an internal QA platform with React, FastAPI, and PostgreSQL that digitizes handwritten forms with an OpenCV and dual-model PaddleOCR pipeline, cutting form processing time about 40 percent, with CI/CD on GitHub Actions, Docker, and AWS.

ReactTypeScriptFastAPIPostgreSQLOpenCVPaddleOCRDockerCI/CD
04SEP 2025
DEC 2025

Firmware & Electrical Team Member

/ Electrium Mobility·Waterloo, Ontario, Canada

Developed firmware and electrical systems for mobility solutions, focusing on motor control and telemetry

ESP32VESCBLEWiFiMQTTUARTFirmware DevelopmentC/C++SolidWorksKiCad
05JUL 2025
AUG 2025

Electrical Technician Assistant

/ Qingdao Huanhai Juneng Electromechanical Co., Ltd.·China

Assembled electrical cabinets and systems, ensuring compliance with safety and engineering standards

Electrical AssemblyWiringSchematic ReadingSafety StandardsQuality Control
06AUG 2024
OCT 2025

News and Education Director

/ Spacetime Archives·Remote

Curated and produced engaging editorial content highlighting developments in space science and exploration

News WritingTechnical WritingEducational OutreachContent Creation
07JUN 2024
AUG 2024

IT Support Technician

/ Candid Auto Parts·Oakville, Ontario, Canada

Provided technical support for IT systems in a workplace environment

Technical SupportTroubleshootingIT SystemsUser Support

PORTFOLIO

PROJECTS

8 ENTRIES
FEATURED · 01

Factory Twin

A Python pipeline that generates and validates USD digital-twin scenes of a factory line from YAML configs, packaged as an NVIDIA Omniverse Kit extension and run end-to-end through Azure DevOps

PythonOpenUSDNVIDIA Omniverse KitAzure DevOpsCI/CDpytest
VIEW DETAILS →

CERTIFICATES

CS50P - Introduction to Programming with Python
CERTIFIED
AUG
2024

CS50P - Introduction to Programming with Python

/

Harvard University

Blog

Character

Posts coming soon

I'm writing up projects, notes, and things I'm learning. Check back soon.

© 2026 Shunyu Yu. All rights reserved.