Taha Malik

Hi, I'm Taha Malik

Mechatronics Engineering Student | Minor in Artificial Intelligence

About Me

I am a dedicated Mechatronics Engineering student at the University of Waterloo, passionate about integrating mechanical, electrical, and software systems to create innovative solutions.

Currently maintaining a 4.0 GPA while pursuing a minor in Artificial Intelligence, I am passionate about combining mechatronics engineering with cutting-edge AI technologies to create intelligent systems.

Problem Solver
Team Player
Continuous Learner

Education

Mechatronics Engineering | Minor in AI

University of Waterloo

President's Scholarship of Distinction | GPA: 4.0/4.0

Location

Etobicoke, ON

Experience

Mechatronics Engineer Intern

Cleveland Range

Jan 2025 – Apr 2025
  • • Designed and assembled custom wiring harnesses from scratch for new commercial cooking equipment, referencing self-created wiring diagrams, to allow for ease of use while troubleshooting by providing a labelled and organized view of each electrical connection.
  • • Created and modified mechanical component plates using Inventor and AutoCAD to optimize for a better fit, component layout, and ease of access, improving unit assembly and troubleshooting efficiency.
  • • Performed PPAP dimensional reports and purchased-part evaluations to identify and resolve quality issues, preventing recurring faults from occurring in production.

Software Engineer

University of Waterloo Rocketry Team

Sep 2024 - May 2025
  • • Resolved critical bugs in the Omnibus communication system using Python, increasing data transmission reliability between onboard subsystems by over 60%.
  • • Designed and executed automated tests in Python to validate inter-system communication under simulated flight conditions, ensuring stability across 90% of test runs.
  • • Contributed to the development of a custom-built communication library enabling seamless data exchange between rocket subsystems, enhancing modularity and code reusability.

Deputy Cadet Squadron Commander

Royal Canadian Air Cadets

Dec 2018 – Aug 2024
  • • Led a committee of 10 members to organize multiple mess dinners and awards banquets for 150+ attendees.
  • • Responsible for maintaining squadron standards by elevating the drill, dress, and deportment of 100+ cadets.
  • • Represented my squadron and the cadet program at national events, including official Ontario Remembrance Day ceremonies.

Skills & Technologies

Programming Languages

Python
Java
C/C++
SQL
MATLAB
HTML/CSS
TypeScript
JSON
MySQL

Developer Tools

Git/GitHub
Docker
VS Code
Jupyter Notebooks
Cursor
ChatGPT
Claude
PyCharm
IntelliJ
Google Cloud Platform
AWS
Azure
AutoCAD
SolidWorks
Inventor

Libraries & Frameworks

TensorFlow
PyTorch
pandas
NumPy
Matplotlib
OpenCV
MediaPipe
REST APIs
FAST APIs
Node.js
React

Projects

AI Discord Bot

Python, JSON, REST APIs, OpenAI, Git

May 2025
  • • Identified the need for centralized course resources; created a Discord bot in Python integrated with OpenAI API, providing real-time information about assignments, course outlines, and professor bios in a JSON format.
  • • Designed and implemented REST API endpoints to dynamically fetch course data, significantly improving students' access to timely course information, utilized by 100+ students.
  • • Utilized Git for version control, documenting each development stage clearly and enabling streamlined collaboration and rapid deployment of new bot features.

Machine Vision

Python, OpenCV, MediaPipe, Git

April 2025 - May 2025
  • • Developed a real-time posture checking app that analyzes live gym videos to evaluate form accuracy during exercises using Python and MediaPipe.
  • • Implemented pose detection and joint-angle logic with OpenCV to identify incorrect form and provide targeted feedback to users.

Titanic Survivability Predictor

Python, TensorFlow, pandas, Git

Apr 2025
  • • Developed a survivability prediction model using TensorFlow and linear regression, training on historical passenger data to estimate survival outcomes.
  • • Utilized Pandas for data preprocessing and Seaborn for exploratory data analysis to identify key survival indicators, achieving over 70% accuracy with the trained model.

Get In Touch

I'm always interested in new opportunities and collaborations. Feel free to reach out if you'd like to connect!

© 2024 Taha Malik. Built with Next.js and Tailwind CSS.