Content-Length: 282158 | pFad | http://github.com/sayedmohamedscu/sayedmohamedscu

D3 GitHub - sayedmohamedscu/sayedmohamedscu: my profile repo
Skip to content

sayedmohamedscu/sayedmohamedscu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

8 Commits
Β 
Β 

Repository files navigation

Hi there πŸ‘‹

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

LinkedIn

Huggingface Spaces

  • πŸ“§ Email: sayedmohamedscu@gmail.com
  • πŸ“ž Phone: +201020284853
  • πŸ“ Location: Egypt
  • πŸŽ“ Education: BSc. Electronics & Comm. Engineering – July 2021
  • πŸŽ–οΈ 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

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)

Google Drive

  • 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

About

my profile repo

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published








ApplySandwichStrip

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier!      Saves Data!


--- a PPN by Garber Painting Akron. With Image Size Reduction included!

Fetched URL: http://github.com/sayedmohamedscu/sayedmohamedscu

Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy