About
I am a B.Tech Computer Science student with a strong curiosity for how systems work under the hood. I learn best by building—whether that's experimenting with local AI models, writing basic bootloaders, or simulating control systems.
My current focus is on low-level software, operating systems, and practical AI integrations. I enjoy taking complex technical concepts and turning them into functional, experimental projects.
Skills
Languages
- C
- Python
- JavaScript
Systems & OS
- Linux Basics
- QEMU (Learning)
- NASM (Learning)
AI & Tools
- Ollama
- Git / GitHub
- VS Code
Web
- HTML / CSS
- Node.js
Creative
- Unreal Engine
- DaVinci Resolve
Featured Projects
Local AI Environment
Orix AI Workspace
An experimental development environment utilizing local Phi-3 models via Ollama. Built to test AI-assisted workflows completely offline.
Challenge: Managing local inference latency and handling shell execution safely within a responsive UI.
Password Entropy Analyzer
A tool that calculates password entropy and brute-force time estimation to demonstrate system security concepts practically.
Challenge: Accurately calculating character pool sizes and converting massive combination numbers into readable time formats.
Drone PID Simulation
A 3D physics simulation visualizing a PID controller stabilizing a drone's pitch, roll, and yaw in real-time.
Challenge: Translating theoretical control algorithms into stable physics calculations within a game engine.
Custom Bootloader (Learning)
A rudimentary operating system built from scratch to explore low-level execution, memory allocation, and CPU modes.
Challenge: Writing a 16-bit real mode bootloader and successfully jumping to 32-bit protected mode.
Certificates & Learning
Continuously learning through projects, experimentation, and technical workshops.
Contact
I'm always open to discussing systems engineering, low-level programming, or experimental AI projects.