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vivek8031/README.md

Hi there, I'm Vivek! πŸ‘‹

πŸš€ About Me

I'm a Machine Learning Engineer passionate about pushing the boundaries of AI. I specialize in leveraging Python, TensorFlow, PyTorch, and Keras to create intelligent systems. I believe in the power of learning πŸ“˜πŸ’» and am constantly exploring new technologies and tools.

πŸ”§ What I Do

  • Design and implement machine learning models for predictive analysis πŸ“Š
  • Develop robust data processing pipelines to ensure data integrity and usability πŸ› οΈ
  • Optimize AI algorithms for efficiency and scalability πŸ”
  • Integrate machine learning models with cloud services like AWS ☁️
  • Create immersive data visualizations to provide actionable insights πŸ“ˆ

πŸ“« How to reach me

You can reach me at vivekreddychithari@gmail.com. I'm always open to interesting conversations and collaboration.

πŸ“š What I'm currently learning

Currently, I'm learning about Deep Learning, Natural Language Processing and LLMs

Feel free to have a look at my work and let's get in touch!

Pinned

  1. Advanced-NLP-with-Transformers Advanced-NLP-with-Transformers Public

    πŸ”¬πŸ€– Explore advanced NLP with Transformers! πŸ’‘ A hands-on project covering 5️⃣ major tasks: text summarization πŸ“, classification 🏷️, question answering ❓, named entity recognition πŸ“‡, and relationship…

    Jupyter Notebook

  2. Stable-Diffusion-FineTuning Stable-Diffusion-FineTuning Public

    πŸ”¬πŸŽ¨ Dive into the world of text-to-image generation with Stable-Diffusion-FineTuning! πŸš€ From intricate impressionist art πŸ–ΌοΈ to dynamic action scenes πŸš—, this project turns any text prompt into vibran…

    Jupyter Notebook

  3. DGL-Fraud-Detection DGL-Fraud-Detection Public

    πŸš€ Detecting financial fraud πŸ’³πŸ’° using Graph Neural Networks (GNNs) πŸ”€! Dive into how GNNs, Amazon SageMaker πŸ§ͺ, and the Deep Graph Library (DGL) collaborate to spot fraudulent transactions from comple…

    Jupyter Notebook 2

  4. DL-Approach-to-Lip-Reading DL-Approach-to-Lip-Reading Public

    πŸ“šπŸ—£οΈ "LipNet: Lip Reading Project" πŸ‘€ Transforms video frames 🎞️ into text πŸ“„ using a spatiotemporal model 🧠🌐 Achieves 95.2% accuracy πŸ† on the GRID corpus, outperforming humans and previous models! Mo…

    Jupyter Notebook

  5. Customer-Churn-Prediction Customer-Churn-Prediction Public

    πŸ“ˆ Harness the power of LightGBM, CatBoost, TabTransformer & AutoGluon-Tabular in Amazon SageMaker πŸš€ for customer churn prediction. πŸ’‘πŸ±πŸ”„πŸ“Š We employ Automatic Model Tuning (AMT) to train ML models 🧠, …

    Jupyter Notebook