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ravivarmapatturi/README.md

Hi there 👋, I’m Ravi Varma Patturi

🔭 AI Research Engineer at Boltzmann Labs with 2 years of experience in AI, Deep Learning, and NLP.
🌱 Specializing in Generative AI and Language Technologies, I leverage cutting-edge algorithms to build impactful solutions.

🎥 Creator at Neural Mastery
📖 A YouTube channel where I share insights on AI, ML, Deep Learning, and Generative AI in Telugu.

🤝 Open to connect and collaborate on AI-driven projects, bringing innovation and value to real-world problems.

📫 Reach me: Email | YouTube | LinkedIn

👨‍💻 Professional Experience

AI Research Engineer

Boltzmann Labs (Current Role)

  • Developing and deploying state-of-the-art deep learning models for real-world applications.
  • Expertise in Transformer-based architectures and generative models for NLP tasks.
  • Collaborating with cross-functional teams to design scalable AI solutions.

🛠️ Skills

  • Programming Languages: Python, R
  • Deep Learning Frameworks: PyTorch, TensorFlow
  • NLP Tools: Hugging Face Transformers, SpaCy
  • Machine Learning: Scikit-learn, Feature Engineering, Hyperparameter Tuning
  • Tools & Platforms: Docker, Git, Jupyter Notebooks, AWS, GCP
  • Core Competencies: Generative AI, Transformer Models, Model Optimization

🌐 My Vision

I believe in harnessing the power of AI and Generative Technologies to drive business innovation and enhance human potential. Let’s shape the future together!

📩 Let’s Collaborate!
I’m open to discussions on AI research, open-source contributions, and collaborative projects in Deep Learning, NLP, and Generative AI. Reach out today! 🚀

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  1. sentiment_classification_using_nlp sentiment_classification_using_nlp Public

    This project uses the GoEmotions dataset, which contains 58,009 Reddit comments labeled with 27 emotions plus neutral. We categorize these into five broader emotions: happy, sad, anger, surprise, a…

    Jupyter Notebook

  2. Customer_Churn_Prediction Customer_Churn_Prediction Public

    Jupyter Notebook

  3. stock_prediction_using_RNN stock_prediction_using_RNN Public

    stock prediction using rnn . I have implemented RNN using pytorch Framework.

    Jupyter Notebook

  4. Building-the-Neural-Network-using-Pytorch Building-the-Neural-Network-using-Pytorch Public

    Building the Neural Network using Pytorch

    Jupyter Notebook

  5. -RAG-Powered-Document-Answering-System -RAG-Powered-Document-Answering-System Public

    Designed a Retrieval-Augmented Generation (RAG) system for document questionanswering • • Integrated Llama 3 7B model for language understanding • Utilized LlamaIndex framework for efficient inform…

    Jupyter Notebook 1

  6. salary_prediction salary_prediction Public

    salary_prediction_ml_web_app

    Jupyter Notebook