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silvaxxx1/README.md

πŸš€ Welcome to My Digital corner!

Hi there! I’m Mohammed (aka Silva), a passionate Deep Learning Specialist and System Architect. With a Bachelor's in Control Systems and Robotics, I’m currently pursuing my PhD in Multimodal Deep Learning and Robotics. I thrive on developing cutting-edge AI systems that push technological boundaries and create real-world impact.


🌟 About Me

As an AI Developer, I specialize in creating intelligent systems that span Computer Vision, NLP, and Robotics. My expertise lies in building scalable models, optimizing AI frameworks, and diving deep into the low-level mechanics of neural networks. I am dedicated to combining theoretical knowledge with practical application to deliver innovative and efficient solutions.


πŸ’» Technical Expertise

Programming Languages

Python C C++

AI & Machine Learning Frameworks

PyTorch TensorFlow Keras JAX Scikit-learn Hugging Face

Data Manipulation & Visualization

NumPy Pandas Matplotlib Seaborn

Computer Vision

OpenCV YOLO Ultralytics Roboflow TensorFlow Object Detection API

Robotics

ROS
MATLAB


πŸ”₯ Current Focus

  • Generative Transformer Models πŸŒ€: Advancing the frontier in generative AI.
  • Efficient Deep Learning Architectures πŸš€: Crafting next-gen architectures for faster, more scalable AI.
  • End-to-End AI Pipelines πŸ’Ό: Building robust pipelines for seamless data processing, model training, and deployment.
  • Deep Learning Anatomy 🌌: Diving deep into backpropagation algorithms and computational graph design.
  • High-Performance Computing πŸ–₯️: Exploring parallel computing with CUDA and Triton for scaling AI systems.

🌐 Let's Connect

Passionate about AI? Let's collaborate or exchange ideas over a virtual coffee. πŸš€

Email
LinkedIn


πŸ“‚ Notable Projects

MyLLM101_Building Meta_Bot
An implementation of the fill cycle of an LLM from scratch in PyTorch creating Meta_Bot, an AI that has knowledge about its creation.
SilvaNet
A lightweight deep learning library in NumPy built with an intuitive API and simple design for my own education purposes.
PAPER2CODE
A collection of ML papers implemented with ML frameworks. The repo includes multiple projects like:

  • Neural Style Transfer
  • GANs
  • ViT
  • Timeline of NLP (bigram, RNN, LSTM, GRU, Transformer…)
  • Among others, with more to come.

Automated Object Detection Pipeline
A pipeline built on top of TensorFlow API for automatic inference, training, and fine-tuning.

πŸŽ‰ Thanks for stopping by! I’m always excited to learn, build, and share cool AI and robotics projects. If you love pushing the limits of technology, feel free to reach out. Let’s create something amazing together! πŸš€

Pinned Loading

  1. MyLLM101 MyLLM101 Public

    "LLM from Zero to Hero: An End-to-End Large Language Model Journey from Data to Application!"

    Jupyter Notebook 13 2

  2. SilvaNet SilvaNet Public

    Config files for my GitHub profile.

    Python 1

  3. PAPER2CODE PAPER2CODE Public

    paper2code: This repository focuses on building deep learning models from scratch by directly implementing algorithms from research papers. It includes implementations of various architectures , al…

    Python 1

  4. Automated-Pipeline-for-Inference-and-Fine-Tuning-Using-TensorFlow-2-Object-Detection-API Automated-Pipeline-for-Inference-and-Fine-Tuning-Using-TensorFlow-2-Object-Detection-API Public

    Python 1

  5. CV-case-study CV-case-study Public

    A Comprehensive Guide to Computer Vision in Deep Learning for the Best Performance

    Jupyter Notebook 1