Hi, my name is

Milan White

and I am an Aspiring Software Devoloper and AI Enthusiast

Email: [email protected]

LinkedIn: www.linkedin.com/in/milan-white

Scroll down to learn more about me

About Me

I am a computer science student at the University of Toronto, driven to build a career in software development. With a passion for problem-solving and building applications, I'm excited to apply my skills in Python and relevant AI frameworks to develop innovative solutions within AI and Software Development fields. I am proficient in Python and have hands-on experience in React and Next.js for web development and backend integration. I have also worked with TensorFlow to deploy image recognition models, from which my love for AI stems.

Education

Specialist in Computer Science

UNIVERSITY OF TORONTO

○ 2024 University of Toronto Scholar Scholarship Recipient

○ Relevant coursework includes Artificial Intelligence, Data Structures, Machine Learning, and Human-Computer Interaction

○ Event Organizer for the Tech Founders Club (Podcasts, Hackathons, and Events)

UofT Computer Science: Program Info

Projects

Employee Attendance/Payroll Web App (In Progress)

In partnership with White Finances & Consulting Inc. | Python, React, PostgreSQL

○ Designing a secure and responsive web application for employee punch-in/out, utilizing Python’s Flask and Google Cloud Platform for a real-time backend system.

○ Building a responsive user interface with React, focused on delivering an intuitive experience across desktop and mobile browsers for greater accessibility.

○ Developing a robust authentication system to ensure secure employee access and protect sensitive attendance data, enhancing overall system security.

AI Chess Bot

A chess bot that plays chess games for you | Python - OpenCV, Tensorflow AI Image Recognition

○ Developed a Chess Bot using OpenCV and TensorFlow that can autonomously play chess on various platforms by detecting board layout and recognizing piece positions through image processing and AI-based recognition.

○ Implemented real-time board detection and piece recognition algorithms, leveraging Python libraries like OpenCV for image manipulation and TensorFlow for AI-based FEN extraction, ensuring a 99% success rate.

○ Built a flexible system allowing the bot to adapt to multiple chess websites, with customized detection for consistent performance across different online interfaces.

Github: ChessBot.git, ChessBoardDetection.git, TFChessPieceRecognition.git

Calorimetry Lab Simulator

A calorimetry lab simulation for use in academic setting | Java - Swing, FlatLaf, AWT

○ Applied object-oriented programming principles in Java to structure the simulator, creating modular classes for different fuels, calculations, and UI components, enhancing code readability, maintainability, and scalability.

○ Implemented a drag-and-drop interface and randomized experimental data to simulate realistic lab conditions, providing users with an engaging and educational experience.

○ Engineered detailed calculations for enthalpy change based on user input, dynamically generating results for temperature change, mass loss, and specific heat capacity to reinforce learning.

Github: CalorimetryLabSimulator.git