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amshrbo/README.md

Hi there 👋, I'm Ahmed Mohamed Elshrbiny

A passionate Software Engineer from Egypt.

amshrbo

  • 🌱 I’m currently open to new opportunities (freelancing, full or part time positions)

  • 👨‍💻 All of my projects are available here on GitHub

  • 💬 Ask me about #software_development, #python, #DevOps, #linux, #docker

  • 📫 reach me through email: amshrbo@gmail.com

  • 📄 Know about my experiences through out my LinkedIn profile.

  • 🤝 I’m looking for someone to mentor me, so please reach out if you wanna help.

Connect with me:

amshrbo amshrbo

Languages and Tools:

bash c docker flask gcp git linux mysql opencv pandas python pytorch scikit_learn tensorflow

 amshrbo

amshrbo

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  1. deploying-nodejs-stack deploying-nodejs-stack Public

    Deploying a server and client created using nodejs and socket programming, then integrating the client with mongodb replicaset cluster to save the streamed data from the server.

    JavaScript 2

  2. deploying_springboot_stack deploying_springboot_stack Public

    Deploying a springboot and mysql stack, using docker, docker-compose for dev env, using kuberntes for production env, the whole deployment tested in minikube

    Java 2

  3. realtime-face-emotion-recognition realtime-face-emotion-recognition Public

    Real time emotion recognition, using OpenCV and haarcascade algorithm for face detection from the video source, then I've done emotion recognition using a model trained on FER-2013 dataset with Ten…

    Jupyter Notebook 2

  4. nsfw-detection nsfw-detection Public

    Nudity, violence and drugs detection using nudeNet for nudity, for violence and drugs detection I hyper-tuned mobilenet model on my own collected dataset, the final results is a python flask API th…

    Jupyter Notebook 18 3

  5. few-shot-learning-explained few-shot-learning-explained Public

    An Introduction and exploration of Meta learning architecture specifically few-shot-learning. Our goal is to be able to classify new objects never seen it in the training data with very few examples.

  6. dcgans-documented-implementation dcgans-documented-implementation Public

    A documented implementation for the paper: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

    Jupyter Notebook