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Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLOAchievement: Arctic Code Vault Contributor

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redhawk5200/README.md

Hi , I'm Abdul Wahab Khan

Gmail GitHub LinkedIn


About me


  • 🎓 Currently pursuing M.Sc in Artificial Intelligence Engineering at Universität Passau, Germany
  • 💼 Ex-Software Engineer at EdgeFirm
  • 🚀 I build AI-powered products from Python backends and APIs to React/React Native frontends with LLM features
  • 🤖 Expert in LLMs and Agentic AI (RAG, vector databases, tools/functions, tracing and evaluation)
  • 🛠️ Full-stack development with FastAPI, React, React Native, and TypeScript
  • 📱 Built a full-stack mobile app that integrates Apple Health data with LLM for personalized AI-driven coaching
  • 🔍 Current focus: Python/FastAPI backends, LLMs, agentic AI, and modern frontend/mobile development
  • 💡 My approach: keep architecture simple, make systems observable, and iterate quickly based on real usage
  • 🌟 Open to part-time/Werkstudent roles in AI-driven and full-stack product development
  • 🤝 Looking to connect with teams and founders who want to turn ideas into working, production-ready software

💻Tech Stack

My Skills



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  1. strideiq_mobile_app-main strideiq_mobile_app-main Public

    A comprehensive React Native + Expo mobile application for intelligent fitness tracking, AI-powered coaching, and Apple Watch integration.

    TypeScript

  2. strideiq_backend-main strideiq_backend-main Public

    FastAPI backend for the StrideIQ mobile application.

    Python

  3. Data-Structures-and-Algorithms Data-Structures-and-Algorithms Public

    Work I did regarding Data Structures and algorithms in my 3rd Semester.

    C++

  4. Comparison-between-Process-And-Threads-Ex.-merge-quicksort-with-process-and-threads-any-five-algo Comparison-between-Process-And-Threads-Ex.-merge-quicksort-with-process-and-threads-any-five-algo Public

    Project for the course: Operating System CS2006

    C

  5. Interpreting-and-analyzing-Netflix-Data Interpreting-and-analyzing-Netflix-Data Public

    This is my first ever data science project where I manipulate raw data and draw conclusions by visualizing the data using plots.

    Jupyter Notebook

  6. LAN-Messenger LAN-Messenger Public

    Assignment 1 for the course "Computer Networks CS 3001".

    Java 1