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netram75/README.md

Hi there πŸ‘‹

I build LLM systems and RAG pipelines β€” focused on grounded, production-ready AI. Currently contributing to CNCF open source projects.

πŸ† Highlights

  • Kaggle Expert
  • 16th / 150+ teams β€” National Hackathon, IIIT Hyderabad (IBM Β· Flood Detection via Satellite Imagery)
  • 8th / 144 teams β€” National Level Hackathon Final
  • Built a grounded PDF-RAG agent with two-stage refusal, multilingual support & automated eval suite

🌐 Languages

HTML5 CSS3 JavaScript TypeScript Python Java C++

πŸš€ Frontend & Framework

React Node.js

πŸ€– AI/ML & Deep Learning

Machine Learning Deep Learning Generative AI RAG LLM FastAPI

☁️ Cloud & DevOps

Docker GitHub Actions

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  1. PDF-Agent PDF-Agent Public

    RAG agent β€” answers only from uploaded PDF, two-stage refusal, page citations, multilingual

    Python

  2. ai-agent-cli ai-agent-cli Public

    Autonomous CLI agent with ReAct reasoning loop and tool use β€” Node.js + Groq

    JavaScript

  3. aisehack-flood-segmentation aisehack-flood-segmentation Public

    Flood segmentation using SAR + deep learning (AISEHack Phase 2)

    Jupyter Notebook

  4. bank-customer-churn-prediction bank-customer-churn-prediction Public

    Bank Customer Churn Prediction using EDA, ML Models and ANN

    Jupyter Notebook

  5. credit-card-fraud-xgboost credit-card-fraud-xgboost Public

    Jupyter Notebook