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Achievement: Pull SharkAchievement: Quickdraw

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OmarFaig/README.md

💫 About Me:

🚀 What I'm Currently Working On
Exploring MLOps: Building my skills to streamline machine learning workflows and optimize deployment pipelines.
Computer Vision Projects: Experimenting with image recognition models and object detection algorithms.
Developing Transformer Models: Diving deeper into NLP and working on custom transformer-based architectures to understand the inner workings of LLMs.


🌱 Currently Learning
Edge Computing: Exploring how to deploy AI models on low-power devices for real-time processing.
Advanced DevOps Practices: Enhancing my knowledge in CI/CD, Docker, Kubernetes, and cloud infrastructure.


🎯 Areas of Interest
MLOps and automation
Computer Vision & AI
Software Development
Data Science and Analytics


🎮 Hobbies & Interests
Football ⚽ and Formula1 🏎️ : I love watching football matches and formula1 races in my spare time.
Chess ♟️: I love playing chess.


🤔 Fun Fact
I started my journey in tech with a background in Electrical Engineering and gradually transitioned into AI and machine learning. I’m constantly fascinated by the potential of combining robotics with intelligent systems to create smarter solutions!


📫 Let's Connec t
Feel free to reach out if you want to collaborate on a project, share ideas, or just chat about technology and innovation. You can find me on LinkedIn or drop me a message here!

🌐 Socials:

LinkedIn

💻 Tech Stack:

C# C++ HTML5 JavaScript LaTeX Python R YAML AWS Azure .Net Apache Spark FastAPI Flask Nodemon OpenCV Postgres Keras Matplotlib NumPy Pandas PyTorch scikit-learn TensorFlow GitHub GitLab CMake Jira Docker Kubernetes Postman

📊 GitHub Stats:



✍️ Random Dev Quote

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  1. VAE_vs_GAN VAE_vs_GAN Public

    Developed and experimented with linear, convolutional, and variational autoencoder (VAE) and GAN architectures for image generation, analyzing the performance in terms of reconstruction quality and…

    Jupyter Notebook

  2. Weather-App Weather-App Public

    Weather App in C# and .NET 8: This project is a weather application built using C# and .NET 8, designed to provide real-time weather data. Future enhancements will include an AI component trained …

    C#

  3. Masterthesis Masterthesis Public

    Master thesis focuses on utilizing transfer learning techniques and object detection algorithms to analyze 3D LiDAR data, aiming to enhance the accuracy and efficiency of object recognition in auto…

    Jupyter Notebook 1

  4. Practical_Course_Overparametrized_Sigmoid_Autoencoder Practical_Course_Overparametrized_Sigmoid_Autoencoder Public

    Explored memory properties in neural networks using an overparameterized sigmoid autoencoder, including the role of attractor dynamics in encoding and retrieval processes.

    Jupyter Notebook

  5. 2D-Object-Detection 2D-Object-Detection Public

    This project demonstrates a simple web application using FastAPI for backend services and a basic HTML frontend. Users can upload images through the interface, which are then processed by the backe…

    Jupyter Notebook

  6. Robust-Odometry-Estimation-for-RGB-D-Cameras- Robust-Odometry-Estimation-for-RGB-D-Cameras- Public

    C++