ScreenedIdentity Verified
No cost, no commitment - we'll make a personal intro
CY

Cheung Yuet Tse

Mid-Level Full-Stack Developer specializing in web apps and game/VR development

WIMTACH, Centennial CollegeCentennial CollegeToronto, Canada5 Years ExperienceMid Level

Connect with Cheung

Cheung already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

About

Frontend-focused engineer who led a full-scale CMS/dashboard build using React (with TypeScript), plus Node.js microservice APIs on AWS Lambda and MySQL. Emphasizes scalable component architecture, feature-based code organization, performance profiling via Chrome DevTools, and disciplined release practices (CI/CD, UAT gating, production monitoring) in fast-paced delivery cycles.

Hire with Reval

Find your next great hire

Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

$250one-time kickoff
10%on successful hire
Post a Role90-day money-back guarantee

Key Strengths

  • Led end-to-end frontend delivery for a React-based CMS (architecture, state management, quality)
  • Designed reusable, single-responsibility component architecture with clear boundaries and prop interfaces
  • Built Node.js microservice APIs on AWS Lambda to support frontend features
  • Performance troubleshooting and optimization using Chrome DevTools
  • Structured complex apps with feature-based organization and separation of server vs UI state
  • Release management with Git + CI/CD, UAT-first workflow, and production monitoring

Like what you see? We'll introduce you to Cheung directly.

Experience

Student ResearcherWIMTACH Centennial College · May 2023 – Sep 2023internship
DeveloperSmart Drop · Jan 2018 – Jul 2022

Education

Chinese University of Hong Kongbachelor, Computer Science (2017)

Languages

English

Certifications

Game Programming - Centennial College

Similar Candidates

KT

Karina Ting

Screened

Junior Mechanical Engineer specializing in robotics, controls, and tactile sensing

Orinda, CA1y exp
Stanford UniversityStanford University

Robotics engineer/researcher from Stanford’s Assistive Robotics and Manipulation Lab who built a custom tactile-sensing gripper system and ROS 2 data pipeline to classify the number of thin material layers grasped using a transformer-based model. Has internship experience at Motiv Space Systems building ROS 2 hardware abstractions for BLDC motor dynamics simulation, plus hands-on SLAM and manipulation work in Gazebo/MoveIt-based projects.

View profile
ZZ

Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision

San Jose, CA2y exp
EZSVS USAUC Berkeley
View profile
AA

Senior Full-Stack Engineer specializing in Python, cloud platforms, and scalable web systems

Schaghticoke, NY12y exp
DropboxNova Southeastern University
View profile
TS

Tanishaa Shah

Screened

Intern Robotics/Controls Engineer specializing in ROS 2 SLAM, PLC automation, and IoT systems

Indianapolis, IN3y exp
Eli LillyUC Berkeley

Robotics engineer with UC Berkeley ROAR autonomous racing experience focused on real-time mapping/localization: implemented DLIO in ROS 2 and built the supporting LiDAR/IMU/GPS synchronization, TF consistency, and GPS-aligned trajectory tooling needed for reliable 3D SLAM on a physical vehicle. Also independently integrated a heterogeneous quadruped robot system at Eli Lilly spanning embedded, PLC, safety radar, Raspberry Pi, and cloud voice interfaces.

View profile
Saikrishna Swaminathan - Entry-level Aerospace/ADCS Researcher specializing in spacecraft controls and simulation in Kanpur, India

Entry-level Aerospace/ADCS Researcher specializing in spacecraft controls and simulation

Kanpur, India1y exp
University of MichiganUniversity of Michigan

Robotics/control-focused candidate with hands-on ROS2 + Gazebo experience implementing MPC with online state identification on a Crazyflie drone, including camera-based position determination fixes. Also worked on multi-agent spacecraft formation control and constellation optimization, debugging numerical drift and redesigning leader-follower control laws to handle delayed/outdated updates; uses Docker to ensure reproducible simulation results across machines.

View profile
JJ

Mid-level Software Engineer specializing in MLOps, AI infrastructure, and distributed systems

Raleigh, NC4y exp
UC San DiegoUC San Diego
View profile

Interested in Cheung?

We'll personally introduce you - no strings attached.

For Hiring Teams

Build your dream team with Reval

Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.

$250one-time kickoff
10%on successful hire
48hrsto first candidates
Post a Role90-day money-back guarantee. A fraction of traditional agency fees.

Discover more candidates like Cheung

Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.

Search Talent

Connect with Cheung

Cheung already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

Hire with Reval

Find your next great hire

Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

$250one-time kickoff
10%on successful hire
Post a Role90-day money-back guarantee
Cheung Yuet TseMid-Level Full-Stack Developer specializing in web apps and game/VR development