Portfolio
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    • Welcome To
    Mersen(Qixin) Ye's Portfolio

    A Software Engineer, a Machine Learning Engineer, and a Gamer.

    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.

    Stack
    • 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.

    Stack
    • 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.

    Stack
    • AER-CNN
    • MSFF-CNN
    • DRF



    SDE Projects

    UWConnect

    Create a social platform for University of Waterloo (UW) students, fostering real-time communication and collaboration.

    Stack
    • 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.

    Stack
    • LLVM
    • Clang
    • Test Automation

    Health Tracker

    Create a lightweight Android app for tracking exercise and food intake, offering nutritional suggestions and data analytics.

    Stack
    • Android
    • Kotlin
    • Data Analytics
    • AES Encryption

    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

    • Back-End

      Node.js
      Express
      Django
      Flask
      SpringBoot
      PostgreSQL, MySQL
      MongoDB
      Redis
      Azure
      CI/CD
      Docker

    • Machine 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

      Research in topic relevant to robot eyes. Graduated from University of Waterloo

    Credit to Adrian Hajdin