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👋 Hey there,

  • I'm a data scientist (aspiring ✨...), working on ML Foundations (cause i deeply care, laying the foundations 🧱...) and build agentic workflows (handling the tedious tasks with LLMs but also articulating model's responses...).
  • I've a pretty good statistical knowledge for experimentation and implenting on real world scenarios (running hypothesis and figuring out with benchmark models)
  • Building agentic workflow with Google ADK (in dominant 💪...) and LangChain 🦜.

🧮 Marimo notebook (Gram-Schmidt Process with interactive cells)

Current marimo notebook demo

I've been writing the implementations of matrix factorization techniques in python used in SVD, PCA, Control Stability with simulations in marimo, so that people understand how each step works.


Open in molab   Open in Spaces   View source code

📬 Connect

Open to research discussions, collaborations, and feedback on notebooks or projects.



GitHub

LinkedIn

Gmail


🤝 Community

Open Source Lead at GDG IIPS Campus; helping peers to get in touch with new tools in Open-Source domain.


GDG IIPS Campus

🩺 Breast cancer classification

Predicted alone with decision tree, and tuned with individual parameters, instead of compeletely relying on GridSearch. Alongside, used SHAP to show how the model explains each variable.


View breast cancer project


🤖 LangChain data assistant

reACT agent for pandas using LLAMA3-70B—built with LangChain.(Yet to update this one...)


Explore LangChain assistant

🔭 Currently working on

  • ✏️ QR decomposition next notebook in the matrix series
  • 🐳 Dockerizing the breast cancer classification project
  • 🎬 YouTube comment classification sequential workflow with the YouTube API

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