GN

Grealish Zhenghao Ni

Electrical & Computer Engineering Student

Email LinkedIn GitHub +1 416-700-7189

About Me

I am a highly motivated Electrical & Computer Engineering student at the University of Toronto with a strong academic record and practical experience in AI, data analysis, and systems development. I am passionate about leveraging technology to solve complex problems and have demonstrated leadership abilities through various team projects.

My experience includes AI model fine-tuning, data analysis for competitions, and hardware development using FPGAs. I'm consistently recognized for academic excellence, being among the top 30 ECE students at UofT.

Highlights

Academic Excellence

Top 30 in UofT ECE program with 3.82/4.0 GPA and consistent Dean's Honours recognition

Technical Proficiency

Strong programming skills in multiple languages with experience in AI, data analysis, and hardware development

Leadership

Successfully led multiple project teams to achieve top rankings in competitions

AI & Machine Learning

Experience with LLM fine-tuning, prompt engineering, and machine learning model implementation

Education

University of Toronto

Expected 2027

Bachelor of Applied Science - Electrical & Computer Engineering

Top 30 in UofT ECE student cohort

GPA: 3.82/4.0

Academic Achievements:

  • 2023 Fall session Dean's Honours list
  • 2024 Winter session Dean's Honours list
  • 2024 Fall session Dean's Honours list

Experience

Research Assistant

National University of Singapore May 2024 - August 2024
  • Fine-tuned LLM models using Python and LangChain to create AI teaching assistants for elementary school programming competitions
  • Developed customized prompt engineering strategies that enhanced model understanding of beginner-level C++ programming competition concepts
  • Created evaluation metrics to measure AI assistant effectiveness in explaining programming logic to young students
  • Collaborated with research team using Git for version control and documentation of model iterations

Projects

Kaggle Data Competition

April - August 2024

Team Leader & Data Analyst

  • Ranked top 3% among 2234 participants in insurance prediction challenge
  • Implemented ensemble model using CatBoost and LightGBM with Pandas, Scikit-learn, achieving 89% accuracy
  • Automated hyperparameter optimization using Hyperopt
  • Led team of 4, coordinating tasks through GitHub and weekly sprints

UTEK Competition

January 2025

Team Leader

  • Ranked top 5 among all teams in University of Toronto Engineering Competition
  • Built real-time wildfire monitoring system using Python Flask backend and Streamlit frontend
  • Implemented RESTful APIs for data handling and real-time updates using PostgreSQL
  • Managed team development using Git branching strategy and code reviews

Digital Systems Final Project

Fall 2024

Team Leader

  • Developed arcade game in Verilog with PS2 keyboard input and VGA display output
  • Implemented game logic, graphics rendering, and input processing on DE1-SoC FPGA
  • Achieved perfect score through robust implementation and comprehensive documentation
  • Collaborated with teammate using Git for version control

Skills

Programming Languages

C/C++
Python
R
MATLAB
SQL
Verilog
Assembly

Tools

Github
VS Code
AutoCAD
PyCharm
LangChain

Libraries

PyTorch
TensorFlow
Pandas
Matplotlib
NumPy