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Achievement: Pull SharkAchievement: Quickdraw

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sridipbasu/README.md

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Sridip Basu

AI / Research Engineer · MS in AI & ML at IIIT Lucknow.

I work on applied ML systems (regulatory RAG, flood forecasting, agent evaluation) and contribute regularly to open source developer tooling.

Open Source

I contribute to Kaggle's official CLI, the tool behind Kaggle Search, kaggle datasets, kaggle kernels, and kaggle competitions.

Merged PRs in Kaggle CLI

Recent work:

  • #1143: unified search command across Kaggle content
  • #1139: submission status command with --wait support
  • #1132: retry transient connection errors in with_retry
  • #1113: fix resumable upload start offset when zero bytes uploaded
  • #1093: read kernel metadata and sources as UTF-8 in kernels_push

Everything I've merged →

Stack

Core: Python · PyTorch · HuggingFace · scikit-learn · XGBoost

Infra: FastAPI · Docker · MLflow · AWS

Data: SQL · Power BI

Background

  • Finalist · Meta PyTorch OpenEnv Hackathon
  • Data Science Intern · Climate Resilience Observatory, Govt. of UP
  • Research Assistant · Bangalore University
  • Kaggle Expert

Contact

Always open to interesting opportunities and collaborations: applied ML, risk and compliance analytics, research engineering, or open source.

LinkedIn · Kaggle · Website · sridip.zui@gmail.com

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  1. floodcast floodcast Public

    Hybrid LSTM + XGBoost system for streamflow forecasting and real-time flood early warning system (EWS) across various River stations in the state of Uttar Pradesh

    Jupyter Notebook

  2. kaggle-notebooks kaggle-notebooks Public

    Curated portfolio of Kaggle projects covering machine learning, NLP, analytics, and model experimentation.

    Jupyter Notebook

  3. rbi-regulatory-rag-chatbot rbi-regulatory-rag-chatbot Public

    AI-powered regulatory intelligence system that enables semantic search and question answering across RBI circulars, master directions, notifications, and compliance documents using Retrieval-Augmen…

    Python