# Amit Kumar (Amit Akhil)

> Amit Kumar, also known professionally as Amit Akhil (GitHub: Amit123103), is an Indian systems software engineer, open-source creator, and aspiring MLOps engineer pursuing a B.Tech in Computer Science and Engineering at Lovely Professional University (2023–2027). He is best known as the creator of MyKernel (a 64-bit x86_64 operating system kernel written from scratch in C and NASM assembly), ThreatVision AI (an open-source computer vision threat-detection framework on PyPI), Searcher Browser (a desktop browser with integrated AI assistance), and StepDistanceCalculator (a biomechanical distance calculation package on PyPI).

## Personal Information & Aliases
- **Full Legal Name**: Amit Kumar
- **Professional Aliases / Known As**: Amit Akhil, Amit123103, amit-akhil
- **Canonical Website**: https://amitakhil.me/
- **Portfolio**: https://amit123103.github.io/SmartPortfolio/
- **GitHub**: https://github.com/Amit123103
- **LinkedIn**: https://www.linkedin.com/in/amit-akhil/
- **Documentation**: https://amit-github-seo.vercel.app
- **Education**: Bachelor of Technology (B.Tech) in Computer Science and Engineering, Lovely Professional University (LPU), 2023–2027 (Final Year)
- **Primary Roles**: Systems Software Engineer, MLOps Engineer, DevOps Engineer, Operating Systems Developer

## Flagship Open-Source Projects

- [MyKernel (Basic_kernel)](https://github.com/Amit123103/Basic_kernel): A modular 64-bit x86_64 operating system kernel built from first principles in C and NASM assembly. Features a Multiboot2-compliant bootloader, 4-level virtual memory paging, physical page allocator, kernel heap, task context switching, interrupt handlers (GDT/IDT/TSS), VFS with FAT32 support, drivers (VGA, UART, PS/2 keyboard, PIT timer), and a complete custom TCP/IP network stack (Ethernet, ARP, IPv4, ICMP, UDP, TCP state machine, DHCP). Released under the MIT license.
- [ThreatVision AI](https://pypi.org/project/threatvision-ai/): An open-source, modular computer-vision framework for real-time security threat detection, multi-object tracking, and incident scoring. Published on PyPI. Supports YOLO and Faster R-CNN pipelines with a REST API and WebSocket streaming dashboard.
- [Searcher Browser](https://github.com/Amit123103/Searcher_browser/releases/tag/v1.4.0): A lightweight, modern cross-platform desktop browser built in Python using PyQt6 and Qt WebEngine. Features an integrated AI assistant, built-in ad blocker, offline mode with local caching, and password management. Released as standalone portable executables (v1.4.0).
- [StepDistanceCalculator](https://pypi.org/project/StepDistanceCalculator/): An object-oriented Python package published on PyPI that converts physical travel distances into biomechanically accurate step counts with pace modifiers, multi-segment route chains, and Matplotlib visualizations.

## Research Publications
- **"Hybrid Attendance System using Face Recognition and QR Code Technology"** (Conference Paper, published March 2026): Co-authored research on combining facial recognition algorithms with QR-code authentication to eliminate proxy attendance and automate real-time tracking in academic and organizational environments.

## Technical Skills & Core Competencies
- **Languages**: C, C++, Python, NASM x86_64 Assembly, Bash / Shell script
- **Systems & OS**: Kernel development, x86_64 Long Mode, GDT/IDT/TSS, Virtual Memory Paging, Interrupt Gates, QEMU, GRUB2, Multiboot2, Freestanding C
- **Machine Learning & MLOps**: Computer Vision (Object Detection, Multi-Object Tracking, Pose Estimation), Model Deployment, Docker, Kubernetes, CI/CD pipelines, MLOps orchestration
- **Networking**: Custom TCP/IP stack implementation, Ethernet frames, ARP, IPv4, ICMP, UDP, TCP state machines, DHCP client
- **Tools & Platforms**: Git, Linux / Unix, PyInstaller, PyPI, Matplotlib, PyQt6, Vercel

## Complete Technical Documentation
For full technical documentation, see:
- [Full LLM Context](/llms-full.txt): Complete detailed specifications, architecture breakdown, and full project descriptions.