Redah Eliwa

Tech-savvy Software Engineering Intern skilled in writing and testing code and helping develop software solutions. Reliable and punctual team player with secret level two clearance, possessing outstanding technical and debugging knowledge. Familiar with Java, JavaScript and Python.

General Dynamics Mission Systems - Software Engineering Intern

• Developed an AI-powered onboarding bot that streamlined new-hire training workflows, reducing onboarding time by 50%.
  Built a VHF RF WAV file transmitter using a Raspberry Pi and USRP B200mini, with Python-based scripts and a custom UI for transmission control.
  Performed design verification and testing on GDMS project features to ensure correctness, reliability, and compliance with safety requirements.

HowLong? - Application (In Progress)

Develop a cross-platform Flutter app (iOS/Android) that provides students with real-time GPS tracking of school buses. Use Google Maps API for live location and route visualization, Firebase for backend storage, authentication, and push notifications, and WebSockets for low-latency updates. Include features such as ETA calculation, route optimization, geofencing alerts near stops, and secure user authentication to improve reliability and safety.

Automated Study Planner with AI Recommendations

Developed a full-stack web application that optimizes student study schedules by analyzing deadlines and habits. Built a Python backend using Scikit-learn for personalized recommendations, a React.js frontend for usability, PostgreSQL for data storage, and Docker for deployment. Test users improved time management efficiency by 30% through data-driven scheduling.

Smart Dorm Room Automation System

Designed and built an IoT automation system using a Raspberry Pi with DHT22 temperature/humidity sensors and PIR motion detectors. Implemented Python-based data collection and control logic, with optional remote monitoring via a Flask web dashboard. The system reduced energy waste by 25% through motion-activated lighting and maintained detailed environmental logs.

Voice GPT - Raspberry Pi

Designed and implemented a voice-activated AI assistant using a Raspberry Pi with microphone and speaker for real-time speech-to-text and text-to-speech interaction. Built a Python pipeline that converts spoken input to text, processes queries using OpenAI’s GPT API, and outputs synthesized speech via gTTS. Integrated hardware and software to deliver a seamless hands-free experience, demonstrating skills in IoT prototyping, API integration, and Python scripting.

• Secret Level 2 Canadian Security Clearnce
• CompTIA Security+ (June 2025)
• Certified Cloud Security Professional (CCSP) (May 2025)
• AWS Certified Solutions Architect (April 2024)

Data Management (Python).  Imperative Programming (C).  Digital Systems.  Object Oriented Programming(Java). Data Structures & Algorithms (Python).  Computer Architecture.  Real-Time System Programming (C).

Operating Systems (C++). Real-Time Concurrent Systems (Java)