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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

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MatinKhajavi/README.md

Hi

I'm Matin Khajavi, an experienced ML/Data Scientist passionate about combining deep theoretical knowledge with practical coding skills to build scalable and impactful solutions.

I specialize in leveraging both state-of-the-art (SOTA) machine learning techniques and software engineering principles to solve complex real-world problems and deliver innovative solutions. With a strong foundation in both fields, I develop systems that are not only intelligent but also efficient, maintainable, and ready for deployment.

💡 Areas of Expertise

  • Machine Learning Development: Proficient in developing, training, and fine-tuning models for various applications, including Natural Language Processing (NLP), Computer Vision (CV), and Bioinformatics.

  • Large Language Models (LLMs): Extensive experience in fine-tuning LLMs for enhanced task-specific performance.

  • Statistical Modeling & Visualization: Skilled in statistical analysis and using visualization tools to uncover hidden insights and inform decision-making.

Pinned Loading

  1. MovieMate-AI MovieMate-AI Public

    MovieMate AI is an advanced RAG-powered chat engine, serving as a knowledgeable companion for all things movies.

    Jupyter Notebook

  2. GPT-from-scratch GPT-from-scratch Public

    Scalable GPT implementation using Distributed Data Parallel for efficient, multi-GPU training of transformer models.

    Jupyter Notebook 1 1

  3. AnwarMP/ConveneAI AnwarMP/ConveneAI Public

    Intelligent meeting tool that works with your data

    Python 4

  4. LLM-News-Classifier LLM-News-Classifier Public

    Fine-tuning BERT, GPT-2, and other LLMs for accurate and efficient news topic classification.

    Jupyter Notebook 1

  5. TIMSS-and-PIRLS-Data-Analysis TIMSS-and-PIRLS-Data-Analysis Public

    In-depth Analysis of TIMSS and PIRLS Data in R: Global Perspectives on Education

    HTML 1

  6. theislab/scArches-reproducibility theislab/scArches-reproducibility Public

    Reproducing result from the paper

    Jupyter Notebook 33