Welcome To
Mersen(Qixin) Ye's Portfolio
A Software Engineer.
Work Experience
DevOps Engineer
Microsoft
2025/10 - Current
Manages HPC virtual machine images and developed Azure Pipelines for automated VM cluster validation.Full-Stack Developer
Acentury Inc.
2023/12 - 2025/10
Designed Angular + Electron UI/UX; developed robust backend logic and led front-end feature development.Software Engineer
Huawei R&D Center
2021/12 - 2022/08
Optimized Python tools for an 80% performance boost and engineered a vulnerability management system using SpringBoot and Redis.High Performance Computing Engineer
Supremind Intelligent Tech
2021/06 - 2021/09
Implemented CUDA-accelerated algorithms and optimized inference models by 14% using performance benchmarking.
SDE Projects
Client Management SaaS (Loyeco)
Full-stack development for a SaaS platform serving 500+ active clients. Features secure 2FA/OAuth, automated email services, and robust admin dashboards.
- React
- Express
- MongoDB
- Node.js
UWConnect
Create a social platform for University of Waterloo (UW) students, fostering real-time communication and collaboration.
- Flask
- CometChat
- Jenkins
- Docker
Performance Regression Analysis of LLVM and Clang
Enhance LLVM and Clang compiler testing by identifying key test subsets for predicting performance regressions and automating the testing process.
- LLVM
- Clang
- Test Automation
Health Tracker
Create a lightweight Android app for tracking exercise and food intake, offering nutritional suggestions and data analytics.
- Android
- Kotlin
- Data Analytics
- AES Encryption
Machine Learning Projects
Enhanced Object Tracking for Assistive Robot
Research and develop an enhanced object tracking system for assistive robots, focusing on improving human-robot interactions.
- Object Identification
- Instance Segmentation
- Siamese
DCIC Human Cell Types Identification from scRNA-seq data
Create machine learning models to accurately identify human heart cell types from single-cell RNA sequencing (scRNA-seq) data. Achieved 94% accuracy.
- PCA Normalization
- Unsupervised Clustering
- k-fold Validation
Facial Expression Recognition
Develop and compare three novel approaches for facial expression recognition, aiming to improve emotion recognition accuracy and visual understanding.
- AER-CNN
- MSFF-CNN
- DRF
Technologies
I've worked with a wide range of technologies in the computer science world.
Programming Languages
Python (Strongest)
Java
Kotlin
JavaScript
TypeScript
C/C++
Bash
PHP
Haskell
Racket
Angular
ElectronBack-End
Node.js
Express
Django
Flask
SpringBoot
PostgreSQL, MySQL
MongoDB
Redis
Azure
Linux
CI/CD
DockerMachine Learning/Deep Learning
Pytorch
Tensorflow
Numpy
Pandas
Data Preprocess
CUDA
Computer Vision
About Me
I hold an Honors Bachelor of Science with High Distinction in Computer Science from the University of Toronto Mississauga in 2018, and a Master of Engineering in Electrical and Computer Engineering degree from the University of Waterloo in 2023. I finished my 4-year undergrad and 2-year grad program within 3 years and 1 year. I took a break after my undergrad program, and worked as a Software Engineer at Huawei R&D Center, and as a CUDA Engineer at Supremind Intelligent Inc. Besides these, I have also worked on several research projects in Machine Learning, and LLVM compiler.
2018
Started my journey at University of Toronto Mississauga
2020
Worked as a Teaching Assistant, joined Housee Technologies as Full-Stack Developer
2021
Graduated from UTM. Worked as CUDA engineer in Supremind Intelligence Inc. Ranked No.4 across China in a Machine Learning contest
2022
Worked as SDE in Huawei R&D center. Started the Master Program in University of Waterloo
2023
Graduated from University of Waterloo. Joined Acentury Inc. as Full-Stack Developer
2025
Joined Microsoft as DevOps Engineer