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Hi I am Turja Chaudhuri, I work in EY and based out of Bangalore India.

  • How did you first hear about Streamlit and how are you using it today?
    I first saw it in a few YoutTube GenAI demos and using it for POC(s), etc

  • What’s something you’re passionate abut outside of your work/studies?
    Writing blogs, podcasts, newsletters

  • What are you hoping to learn, share, or achieve in this community?
    Best practices on how to use Streamlit for enterprise-grade applications

  • If you had to describe yourself in 3 emojis, what would they be?
    :smile: :joy: :stuck_out_tongue_winking_eye:

  • Do you have any pets? (photos encouraged!)
    Not yet, but looking to get a puppy soon

62

Hey people!

  • I heard about streamlit via a friend of mine, tbh initially I used mern stack to create the ui, but when I came across streamlit. The process become so effortless for real, I just deployed an AI Agent few days back. I love the low code gets transformed to such a great ui.
  • I’m studying about ICT (Information and Communication Technology) and I’m exploring different domains - web/app dev, AI/ML, Cloud, etc. and I like to build products that matter in public. Besides, I’m a core member at Google Developer Group on Campus, DA-IICT and have organized various community open-source events like DevFest and we’re about to organize KDE in this April!
  • Streamlit community here has made the process of “finding bug-specific solutions” so damn easy. I was myself stuck for 3 hours, then I found discuss.streamlit.io and instantly got it solved! I would like to contribute by listing the bugs on streamlit, connect with people and perhaps provide solution the bugs!
  • If I had to describe myself in 3 emojis - :technologist:(code):handshake:(engage):joy:(humor)
  • Forgive me fellas, I don’t have a pet!
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Hi, I’m Mark, an AI developer specializing in prompting and generative models. I’m currently working on a modular, node-based system that enhances flexibility and scalability in AI-driven applications. My focus is on building interactive, intelligent systems using local LLMs, Streamlit, and Gradio, ensuring seamless user experiences and efficient model integration. :rocket:

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