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huzaifa678/README.md

๐Ÿ‘‹ Hi, I'm Huzaifa Ahmad Gill


๐Ÿš€ About Me

I'm a curious and driven engineer with strong interests in Artificial Intelligence, DevOps, Backend & Full-Stack Development, and High Performance Computing.

I enjoy building systems end-to-end while deeply understanding why they work the way they do.


๐Ÿ‘€ Interests

  • Artificial Intelligence & Machine Learning
  • DevOps & Cloud Infrastructure
  • Backend & Full-Stack Systems
  • High Performance & Low-Level Computing

๐ŸŒฑ What I'm Currently Learning

๐Ÿง  Artificial Intelligence

  • Deep Learning
  • Reinforcement Learning
  • MLOps
  • Modern LLM architectures & tooling

๐Ÿš€ DevOps & Cloud

  • CI/CD pipelines (GitHub Actions, Jenkins, CircleCI)
  • Containerization (Docker, Kubernetes)
  • AWS infrastructure & system design

โš™๏ธ Backend & Full Stack

  • MERN Stack
  • Spring Boot with Next.js
  • Golang (Gin, gRPC, Go-Kit)
  • Django & FastAPI
  • TypeScript & JavaScript (Node.js backend + full-stack apps)

โšก High Performance Computing

  • CUDA Programming
  • Computer Architecture
  • Performance Optimization

๐Ÿ“Š Language Dashboard


๐Ÿงฉ Frameworks & Ecosystem

๐ŸŸข Backend

๐ŸŸฃ Frontend

๐Ÿ”ต APIs & Architecture

๐ŸŸ  DevOps & Cloud

โ˜ธ๏ธ Kubernetes Ecosystem

๐Ÿ—„๏ธ Databases & Messaging

๐Ÿง  AI / ML


โ˜๏ธ AWS Stack


๐Ÿ“ˆ GitHub Dashboard


๐Ÿ’ป Philosophy

I actively build side projects while focusing on understanding the underlying theory behind modern systems.

My goal is to strengthen core computer science fundamentals while applying them to real-world, scalable architectures.


๐Ÿ’ž๏ธ Collaboration

I'm always open to collaborating on meaningful projects and building industry-grade systems or research-driven solutions.


โšก Focus Areas

graph TD
    A[AI / ML] --> B[Deep Learning]
    A --> C[LLMs]
    A --> D[MLOps]

    E[Backend] --> F[Golang]
    E --> G[Spring Boot]
    E --> H[FastAPI]

    I[DevOps] --> J[Kubernetes]
    I --> K[CI/CD]
    I --> L[AWS]

    M[HPC] --> N[CUDA]
    M --> O[Performance Optimization]
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