Kaius Jin

Profile

I am a 1B Computer Science Co-op student at the University of Waterloo. Studying from 2025 to 2030.

Technical Skills

C++ C# Python Java Racket/Scheme MySQL MATLAB JavaScript HTML/CSS LaTeX

Education

  • Bachelor of Honors Computer Science
  • University of Waterloo
  • Sequence 4
  • GPA: 4.0/4.0
  • Grade: 92.8

Involvement

  • Computer Science Club
  • Data Science Club
  • Deception Board Club

Projects

UWaterloo Workload Calculator

Jan 2026
  • Developed a specialized full-stack analyzer to quantify academic and physical workload for University of Waterloo students by parsing Quest schedule data.
  • Engineered a high-precision campus navigation engine using NetworkX (Dijkstra's Algorithm) and GeoJSON data to calculate inter-building commute times.
  • Implemented a multi-source data fusion pipeline integrating GraphQL to scrape UWFlow course/professor ratings and cross-referencing schedule timestamps (12h/24h formats).

Guess The Disease

Oct 2025
  • Developed a full-stack platform using Gemini to dynamically synthesize patient cases via optimized Prompt Engineering.
  • Engineered a RESTful backend to manage stateful AI sessions and asynchronous API calls, ensuring real-time diagnostic simulation.

Remember Me

Sep 2025
  • Developed an IoT-based patient care device utilizing USB-interfaced microcontrollers, sensors, and actuators (LED/Buzzer) for real-time medication reminders.
  • Built a web dashboard with interactive timelines to visualize patient health trends.
  • Integrated Gemini to analyze task completion patterns and generate personalized health insights based on historical behavioral data.

Discord Agent with LLM Integration

Jul 2024 – Aug 2024
  • Developed an asynchronous Discord bot integrating GPT-3 API for natural language processing and real-time interactive conversations.
  • Integrated Open Weather API and custom utility modules to deliver dynamic external data.
  • Utilized Python Asyncio (async/await) to handle high-concurrency events and multi-user requests, ensuring low-latency responses.

Competitive Robotics Project

Jun 2024 – Aug 2024
  • Engineered motion control and combat modules using C++, optimizing PID control algorithms for precise and responsive robot maneuvers.
  • Developed a Bluetooth communication protocol to ensure low-latency remote control and reliable data transmission between controller and robot.
  • Integrated hardware components with low-level C++ firmware, performing rigorous debugging to ensure real-time system stability.

Crowd Recognition & Density Estimation System

Nov 2023 – Dec 2023
  • Developed a computer vision system for real-time crowd detection and counting using OpenCV, supporting both live video streams and offline media processing.
  • Implemented Gaussian filtering and morphological operations to perform image de-noising and background subtraction, enhancing feature extraction accuracy.
  • Optimized frame-by-frame processing logic to ensure high-throughput analysis for low-latency crowd monitoring applications.
  • Utilized NumPy for efficient matrix operations on pixel data, facilitating rapid density map generation and population estimation.

Work Experience

Software Engineering Intern

Jul 2025 – Dec 2025

Tianjin Jinrui Technology Investment Development Co., Ltd. (Remote)

  • Designed and implemented a relational database schema in MySQL to support an internal investment management system, applying normalization to reduce data redundancy and improve data consistency.
  • Developed a C++ backend service to interact with the MySQL database via MySQL Connector, implementing efficient data retrieval logic to process 10k+ daily transactions.

Data Analyst Intern

Apr 2025 – Jun 2025

Tianjin Jinrui Technology Investment Development Co., Ltd. (Tianjin, China)

  • Performed Exploratory Data Analysis on multi-source housing datasets, applying regularized regression to identify key market drivers and predict sales trends with high precision.
  • Developed robust data preprocessing scripts using Python (Pandas) to automate the cleaning, transformation, and feature engineering of multi-source datasets.
  • Designed interactive data visualizations using Seaborn and Qt, translating complex market patterns into interpretable insights to support decision-making.

Honors & Awards

Lan Wong Chu Entrance Scholarship

$2,000

University of Waterloo · 2025

President’s Scholarship of Distinction

$2,500

University of Waterloo · 2025

Euclid Distinction

TOP 25%

University of Waterloo · 2024

Activities

Hack The Valley

Developed "Guess The Disease", a gamified application built with Python to enhance medical awareness.

Robotics Competition

Engineered combat modules and motion control systems using Python and Bluetooth communication.

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