IT student passionate about building clean software on Arch Linux. Writing Python, Java & Bash · crafting Django backends · obsessing over git history and terminal aesthetics.
I'm an IT student with a deep love for the command line, open-source culture, and writing software that actually works. My workstation runs Arch Linux — because I want to know exactly what's running on my machine.
I build backend applications with Python & Django, write automation scripts in Bash, and tackle data-structure problems in Java. Version control isn't an afterthought — git is part of how I think.
Currently looking for opportunities to contribute to real products, learn from senior engineers, and keep pushing my own boundaries.
An Enterprise-level Predictive Maintenance System. Features a custom Machine Learning model for hardware failure prediction, Gemini AI insights, real-time monitoring, and JWT authentication.
Hardware failures can cause unexpected downtime and huge financial losses for companies. I developed this full-stack predictive maintenance platform to solve that exact problem. Instead of waiting for a machine to break, this system proactively monitors hardware health, uses a custom Machine Learning model to predict potential failures, and provides real-time AI-driven repair advice to technicians.
Developed as a comprehensive solution for proactive hardware management, AI-driven risk analysis, and automated system monitoring.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.