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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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hosseinhimself/README.md

Hello, I'm Hossein Mohseni 👋

🧑‍💻 About Me

I am an experienced AI Engineer with a strong background in data science, machine learning, and artificial intelligence. With a degree in computer engineering and over five years of professional experience, I have developed robust expertise in Python programming, natural language processing (NLP), and building end-to-end AI solutions. My work combines technical rigor with creative problem-solving to deliver impactful results.

As a dedicated advocate for GNU/Linux and open-source software (FOSS), I actively promote software freedom principles and rely on Ubuntu as my primary operating system for development. This aligns with my commitment to building transparent, ethical, and scalable solutions.

In addition to my technical career, I find inspiration through music. I am a skilled electric guitarist and enjoy arranging and composing music, balancing my analytical work with creative expression. This blend of creativity and technical expertise fuels my passion for innovation and problem-solving.

💼 What I’m Working On

  • Artificial Intelligence (AI): Building scalable, innovative solutions using state-of-the-art techniques like transformers and fine-tuning large language models.
  • Biomedical AI: Developing AI-driven solutions for health monitoring, including signal processing and predictive analytics.
  • Natural Language Processing (NLP): Specializing in language models, classification tasks, and text analytics, with a focus on Persian NLP.
  • Signal Processing: Extracting and analyzing biomedical signals like PPG for healthcare applications.
  • FOSS Advocacy: Leveraging open-source tools and frameworks in all my projects.

📚 What I’m Focused on Improving

  • Advanced AI Techniques: Expanding my knowledge of Retrieval-Augmented Generation (RAG) and cutting-edge LLM fine-tuning methods.
  • Transformer Models: Working on models like Hugging Face Transformers, PEFT, and other parameter-efficient tuning techniques.
  • Clean Coding Practices: Improving code readability, scalability, and modularity for collaborative projects.
  • Technical Writing: Crafting detailed documentation, research papers, and blogs to share knowledge with others.
  • Leadership & Mentorship: Guiding teams and mentoring aspiring AI professionals to grow in the field.

📊 GitHub Stats

GitHub Stats

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  1. LLM-Based-Egogram-Test LLM-Based-Egogram-Test Public

    Perform egogram tests with language model prompts in Python.

    Jupyter Notebook 4

  2. My-LLM-Practices My-LLM-Practices Public

    A repository for exploring and practicing Large Language Models.

    Jupyter Notebook

  3. Knapsack-AOA Knapsack-AOA Public

    This Python program implements a knapsack problem solver using the Archimedes Optimization Algorithm (AOA). Given object weights, values, and knapsack capacity, AOA efficiently maximizes the value …

    Python 5

  4. Movie-Recommendation-Service Movie-Recommendation-Service Public

    This is a movie recommendation system utilizing TF-IDF and cosine similarity. It suggests similar movies based on inputted titles, enhancing movie discovery. The system is accessible through a user…

    Python 1

  5. Image-Captioning-Flickr Image-Captioning-Flickr Public

    The code builds and trains an image captioning model using CNN and RNN on Flickr8k dataset, followed by evaluating the model's captions on randomly selected images.

    Jupyter Notebook

  6. Fake-news-detection Fake-news-detection Public

    Jupyter Notebook