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Building Intelligent Software with AI
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Building Intelligent Software with AI
439 followers · 136 following

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Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx4Achievement: YOLOAchievement: QuickdrawAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor

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aniketmaurya/README.md

Greetings! 👋

Machine Learning Software Engineer at Lightning AI ⚡️

I build 🧠 Intelligent Softwares with Machine Learning

🌟 About Me:

⚡ Building LitServe - Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale. ⚡

🧡 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 https://aniketmaurya.com

💬 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

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

    Build custom inference engines for models, agents, multi-modal systems, RAG, pipelines and more.

    Python 3.7k 259

  2. Agents Agents Public

    Build Agentic workflows with function calling using open LLMs

    Python 28 4

  3. fastserve-ai fastserve-ai Public

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

    Python 59 5

  4. llm-inference llm-inference Public archive

    Large Language Model (LLM) Inference API and Chatbot

    Python 126 14

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

    An open-source AutoML Library based on PyTorch

    Python 308 36

  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 6