sayedmohamedscu / darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Hi there 👋

I'm Elsayed Mohamed a Machine learning engineer specializing in computer vision

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

With 5+ years of experience in various startupsand as a freelancer, interacting with a diverse set of problems. I've worked with software & hardware from building apps, designing drones , UGV or developing machine learning applications, alongside experimenting with many ideas and trying to fulfill my curiosity by learning everything I can put my hands on.

My focus is developing deep/high tech and building Machine learning solutions with real value to business .

I have participated in building and enhancing multiple solutions and ideas

I have worked with multiple startups

Work Experience

Computer Vision Engineer at PaxeraHealth (11/2023 – Present)

Custom 2D / 3D solutions for tumor segmentation / NLP solutions

Computer Vision Engineer at Devisionx (03/2023 – Present)

Tuba Auto AI-Vision Platform

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

Smart and secure access control solutions [License plate recognition , Face matching , National ID reader and deployment ]

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

Participated in the early version of Tuba Auto AI-Vision Platform

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

AI-Powered e-KYC Platform

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

Research assistant

R&D WiFi sensing and Deep learning solutions under supervision of DR / Twfik Ismail , Cairo University

Research Paper (not published yet)

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

Business Domains of Experience

• FinTech
• Telecom
• Industry 4.0
• Digital Transformation
• Robotics & Avionics

Technical Fields of Interest

• Machine & Deep Learning
• MLOPS
• Software engineering
• Scientific Programming & Simulations
• Digital Signal Processing
• Control Engineering
• Robotics (Drones and UGV)

Research Interests

• Applied Artificial Intelligence
• Mathematical Modeling
• Control Theory
• WiFi sensing
• Communication theory and AI

Technical Skills

• General Purpose Languages: Python,C#, C, C++, Dart, Swift
• Machine & Deep Learning: PyTorch, Keras, TensorFlow, ONNX
• Data Manipulation & Analysis: Numpy, Pandas, Scipy, Facebook HiPlot
• Computer Vision/Image Processing: OpenCV, Tesseract, PIL, MATLAB
• 3D : VTK /ITK
• API Deployment: FastAPI, Flask, Docker
• Domain-Specific/4th Generation Languages: MATLAB, Simulink, LabVIEW
• Mobile Development: Flutter, iOS Development

Other Tools & Skills

• Digital Signal Processing, Medical imaging ,Applied Mathematics, Computer Architecture, Circuit Design
• Cloud: AWS (EC2, ECS,BedRock aws, Rekognition) Azure / GCP
• 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