Software • Data • Systems Design

MARK BAULAMARK BAULA

Mechatronics Engineering Student

University of Waterloo

Mark Baula

Get to know me

About me

Hi! My name is Mark. I am a Mechatronics Engineering student at the University of Waterloo. My hobbies include playing video games (both competitive and casual), going to the gym and watching movies! I also love discovering new music and collecting pokemon cards.

Like most engineers, there's an incredible amount of things I'd love to learn and build, but I'm particularly interested in the intersection of robotics and AI, BCIs and Fintech. Thanks for checking out my projects and portfolio :)

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Experience

With hands-on experience in full-stack development, I have contributed to a variety of high-impact projects across multiple industries, from banking to startups to academic research. I'm passionate about working on projects that are high impact and make the life of others easier. I am always eager to learn and try out new experiences!

For a more detailed overview, check out my resume.

Projects

A snapshot of things I've built in my free time.

Screenshot of Mental Health Journal project

Mental Health Journal

Mental health journaling app that performs real-time NLP analysis on entries using a hybrid ML pipeline: fine-tuned DistilBERT for multi-label emotion detection (28 emotions) and topic identification, and TF-IDF + Linear SVM for binary sentiment classification on Sentiment140. Models served via FastAPI; frontend built with React, Vite, and Tailwind.

PyTorchHugging Face Transformersscikit-learnFastAPIReactViteTailwind CSS
Screenshot of PawsitiveMatch project

PawsitiveMatch

PawsitiveMatch is a full-stack web app designed to connect pet owners looking to rehome their pets with potential adopters. The platform features full authentication and pet listing management workflows, search and filtering functionality for available pets, and an adoption request system.

Uses Render free tier — API may take ~1 min to spin up on first load.

TypeScriptExpressNode.jsMongoDBReactVercel
Screenshot of Snake Game (ARM Cortex-M3) project

Snake Game (ARM Cortex-M3)

Classic Snake game implemented on an ARM Cortex-M3 development board in C. Supports wall collision game-over, self-collision detection, growth on apple consumption, and score display via on-board LEDs, with reset via physical push button.

CARM Cortex-M3Embedded Systems
Screenshot of Visimulate project

Visimulate

A web app that allows users to upload images and simulate various visual impairments to experience how the images would appear to individuals with different visual conditions. It uses image processing algorithms to transform the images in real-time, providing an interactive and educational experience about different visual impairments.

ReactJavaScriptReact-BootstrapVercelImage Processing
Screenshot of JettBot project

JettBot

A feature-rich single-guild Discord bot built with JavaScript, Discord.js, Sequelize, and Distube. Includes a full economy system with a database, gambling game commands (roulette, blackjack, slots), Valorant-themed features (random agents, skin gacha), and music playback.

Used daily by 200+ people in a personal Discord server.

JavaScriptNode.jsDiscord.js
Screenshot of DeepLearning.AI Specialization project

DeepLearning.AI Specialization

A five-course Coursera specialization covering neural networks and deep learning, hyperparameter tuning, structured ML projects, convolutional networks, and sequence models, with hands-on implementations in TensorFlow and Python.

TensorFlowPythonDeep LearningTransformersHyperparameter TuningNLP