Hi there 👋

Elsayed Mohamed Elsayed

• 📧 Email: [email protected]
• 📞 Phone: +201020284853
• 📍 Location: Cairo, Egypt
• 🎓 Education: BSc. Electronics & Comm. Engineering – July 2021
• 🎖️ Military Status: Completed

Work Experience

Machine Learning Engineer at Devisionx (03/2023 – Present)

• Debugged and refactored the AutoML pipeline for image classification and object detection
• Participated in building the updated version of Tuba (AutoML platform) and the MLOps cycle

Computer Vision Engineer at PassApp (06/2022 – 01/2023)

• Built and tested multiple pipelines for various applications
  • License plate recognition
  • Face matching
  • Egyptian national ID number recognition
• Developed an iOS application for ML deployment and integrated it with the computer vision backend
• Worked with blockchain basics for building a private secure network for users
• Handled data management, ML solutions deployment on mobile devices (using Flutter) and on-premise

Computer Vision Engineer at Devisionx (07/2020 – 11/2020)

• Assisted in building and testing the AutoML pipeline for image classification and object detection
• Participated in building the early version of Tuba (AutoML platform) and the MLOps cycle
• Participated in testing YOLO-V3, V4, V5, and classification models and pipelines
• Participated in building an end-to-end object detection pipeline AutoML YOLO

Machine Learning Engineer / Intern at Digified (07/2019 – 11/2019)

• Built lightweight text de-noising and segmentation autoencoder models
• Trained and tested models for text detection
• Participated in building Egyptian ID detection using SOTA architectures
• Participated in automating the data annotation process for text segmentation

Computer Vision Freelancer

• Drone and object detection using YOLO for DroneBase startup
• Worked on multiple projects in image classification, segmentation, object detection, and recognition
• Completed various industrial and medical machine vision projects

Graduation Project/Paper (2021)

• Constructed Wi-Fi sensing-based applications using machine learning techniques, specifically deep learning
• Developed intrusion detection, gait recognition, and indoor localization systems
• Built the Blaze_Wi network, inspired by Google's Blaze Face network

Technical Skills

• General Purpose Languages: Python, C, C++, Dart, Swift
• Mobile Development: Flutter, iOS Development
• Machine & Deep Learning: PyTorch, Keras, TensorFlow, ONNX
• Data Manipulation & Analysis: Numpy, Pandas, Scipy, Facebook HiPlot
• Computer Vision/Image Processing: OpenCV, Tesseract, PIL, MATLAB
• API Deployment: FastAPI, Flask, Docker
• Domain-Specific/4th Generation Languages: MATLAB, Simulink, LabVIEW

Other Tools & Skills

• Digital Signal Processing, Applied Mathematics, Computer Architecture, Circuit Design
• Cloud: AWS (EC2, ECS, Rekognition)
• Microcontroller Experience: PIC16F, PIC18F, Atmega328/32/16, Arduino
• Digital Fabrication: 3D Printers (RepRap), Laser Cutters
• Others: Proteus, EagleCAD, Android Studio, Xcode
• Wi-Fi Sensing: Intel 5300, Atheros, Channel State Information, Received Signal Strength