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
05AUG 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
06JUN 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.