I’m Suhaas, a Computer Science graduate from McMaster University focused on machine learning, full stack development, and end-to-end software systems. Within machine learning, I work across deep learning and applied modeling, spanning areas like natural language processing, computer vision, and real-world domains such as healthcare and automation. I enjoy building through the full pipeline, from data processing and model training to deployment and production integration. I’m also interested in automation, scalable systems, and open source collaboration, and I like turning complex ideas into practical, impactful tools.
Skills
Programming Languages
Frameworks & Libraries
Tools
Portfolio
Chest X-ray Analysis
AI-powered chest X-ray analysis web app. Built with SvelteKit, Node.js, and Python. Capstone project at McMaster University.
Fire Image Classification
Machine learning project for classifying fire vs. non-fire images. Compared CNN, SVM, and KNN.
Personal Portfolio Website
Repository for my personal portfolio website built with Next.js and hosted on Vercel. Showcases my projects and skills.
Script Emo
An ML project that classifies the emotional tone of paragraphs in a given script. Built with Python and scikit-learn. Trained on a custom dataset of movie scripts annotated with emotional labels.
SpecificMacro
An open-source automation tool that allows users to create custom clicks and keybinding macros for specific applications that run in the background without interrupting foreground applications. Built with AutoHotkeyV2.