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RaedManna/README.md

Hi, I'm Raed Manna 👋

I'm a Computer Engineering graduate and a Full-Stack Developer focused on building practical, database-backed applications with modern web, mobile, and AI-assisted technologies.

I am currently looking for full-time remote junior software engineering, full-stack development, backend development, or AI-assisted application development roles.


About Me

  • Computer Engineering graduate from Middle East Technical University
  • Full-stack developer internship experience.
  • Open to full-time remote roles
  • Interested in full-stack development, backend systems, AI-assisted applications, and databases
  • Built an AI predictive maintenance app for vehicles using Python, Flutter, Supabase, OCR, and Google Places API as part of a four-person team.
  • Graduated with Honors and received two Honor certificates and one High Honor certificate

Technical Skills

Languages:
Python, Dart, C++, C, Haskell

Frontend & Mobile:
React, Vite, Flutter, Android Studio

Backend & APIs:
FastAPI, REST APIs, Supabase, Google Places API, Google Maps API

Databases:
PostgreSQL, SQL, Supabase Database, SQL Workbench

AI & Data:
Machine Learning, Deep Learning, Neural Networks, OCR, Predictive Analytics, Probability & Statistics

Tools & Testing:
Git, Unit Testing, Integration Testing, Cloud APIs

Systems:
VHDL, FPGA, Logisim, Proteus, ATmega128 Microcontroller


📌 Featured Projects

AI Predictive Maintenance App for Cars

A full-stack mobile application that predicts vehicle part failures, fuel-related status, and maintenance needs using AI-assisted logic.

Tech stack: Python, Flutter, Supabase, OCR, Google Places API, Android Studio

Key features:

  • Vehicle part failure prediction
  • Fuel-related status prediction
  • OCR-based document parsing
  • Nearby mechanics, dealerships, charging stations, and service center recommendations
  • Supabase backend and database integration
  • Unit and integration testing

HR Management Web Application Case Study

A full-stack HR management web application developed during my internship.

Tech stack: React, Vite, FastAPI, Python, Supabase

Worked on:

  • Employee records
  • Leave requests
  • Payroll workflows
  • Attendance tracking
  • Dashboards and reports
  • Role-based access for employees, HR management, and CEO-level users

Note: This is a case study only. Private company source code is not included.


Sports Center Website

A database-backed university web project developed as part of a team. (A final term project for an advanced database course)

Worked on:

  • Database design and implementation
  • Database testing before website integration
  • Frontend and backend contribution using Python

Operating Systems Scheduling Algorithms

Implemented CPU/process scheduling algorithms in C to simulate operating system scheduling behavior and compare scheduling policies.


📫 Contact

Pinned Loading

  1. ai-car-maintenance-app ai-car-maintenance-app Public

    AI-powered vehicle maintenance app built with Flutter, Supabase, OCR, and Google Places API.

  2. hr-management-webapp-case-study hr-management-webapp-case-study Public

    Case study of a full-stack HR management web application built during my internship using React, Vite, FastAPI, Python, and Supabase.

  3. advanced-deep-learning-vision-sequence-models advanced-deep-learning-vision-sequence-models Public

    Advanced deep learning practice with NumPy deformable convolution, PyTorch CNNs, and manual RNN autograd.

    Python

  4. ai-queen-game-minimax ai-queen-game-minimax Public

    Python AI game using Minimax and Alpha-Beta pruning for queen movement strategy.

    Python

  5. cpp-ray-tracer cpp-ray-tracer Public

    C++ ray tracer implementing spheres, triangles, Blinn-Phong shading, shadows, and recursive mirror reflections.

    C++

  6. deep-learning-numpy-pytorch deep-learning-numpy-pytorch Public

    Deep learning practice projects covering CNNs, NumPy implementations, and PyTorch models.

    Python