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Building Intelligent Software with ML
Building Intelligent Software with ML


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Greetings! 👋

Machine Learning Engineer at Lightning AI ⚡️

I build 🧠 Intelligent Softwares with Machine Learning

🌟 About Me:

🧡 Creator of GradsFlow - Empowering zero-code machine learning training and deployment 🚀

🎉 Architect behind Chitra, a versatile library for end-to-end Deep Learning that simplifies Model Building, API Development, and Model Deployment. 🚀

👨‍💻 I'm deeply passionate about sharing insights on ML/AI and Programming through my blogs at

💬 Feel free to inquire about Large Language Models (LLMs), PyTorch Lightning, Computer Vision (including GANs, Object Detection, Face Recognition), and leveraging Text and Image Documents for information extraction (NLP + CV)

⚡ Unpopular opinion: Chai > Coffee and Light mode > dark mode.

LinkedIn Twitter Stack Overflow YouTube Medium


  1. Lightning-AI/LitServe Lightning-AI/LitServe Public

    Deploy AI models at scale. High-throughput serving engine for AI/ML models that uses the latest state-of-the-art model deployment techniques.

    Python 117 12

  2. agents agents Public

    Build Agentic workflows with function calling

    Python 13 2

  3. gradsflow/fastserve-ai gradsflow/fastserve-ai Public

    Machine Learning Serving focused on GenAI with simplicity as the top priority.

    Python 56 5

  4. llm-inference llm-inference Public

    Large Language Model (LLM) Inference API and Chatbot

    Python 121 14

  5. gradsflow/gradsflow-automl gradsflow/gradsflow-automl Public

    An open-source AutoML Library based on PyTorch

    Python 305 35

  6. deep-learning-examples deep-learning-examples Public

    Collection of code examples and tutorials for PyTorch, Deep Learning, distributed training and large language models (LLMs).

    Jupyter Notebook 4