Building intelligent systems, immersive apps, and efficient tools —
from machine learning pipelines to practical everyday projects.
I'm a bachelor's student in Artificial Intelligence Engineering at Neumont University (2024–current) with a focus on practical machine learning, NLP, and system-level AI projects. I design, implement, and deploy AI tools while also building software and hardware systems.
My projects range from immersive applications like my project called Enigma and voice-controlled PC mods to optimizing ML pipelines. I approach every challenge with curiosity and persistence, combining software engineering, AI expertise, and hands-on hardware skills.
Beyond coding, I enjoy tinkering with PCs and anything tech, contributing to personal projects, and exploring ways to integrate AI into everyday systems.
A maze game platform where every maze is generated via a seed using a recursive backtracker algorithm — the same technique used in classic roguelikes. Features player profiles, a map marketplace, and possibly co-op modes. Full-stack project in Python & C#, containerised with Docker.
A voice-controlled PC system that interprets speech commands and executes them in real time. Uses Python Speech Recognition for speech-to-text, and QtPy for a clean UI. Supports custom command mapping and text-to-speech feedback.
Feel free to reach out regarding projects, collaboration, or AI-related inquiries. I'm always open to discussing ideas and contributing to innovative systems.