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Narahari917/README.md

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👋 About Me

MS Data Science student at Arizona State University building AI systems that actually work — RAG pipelines, knowledge graphs, full-stack ML apps. 1 year of production backend experience at Spice Money. Passionate about grounding LLMs in real data and shipping end-to-end solutions.

  • 🧠 Currently exploring LLM hallucination mitigation with knowledge graphs
  • 🏗️ I build full-stack AI apps, not just notebooks
  • 📍 Tempe, AZ | Open to internships & research roles
  • ☕ Fueled by curiosity and probably too much coffee

🛠️ Tech Stack

Languages

Python SQL Java C++ JavaScript

🤖 AI / ML

TensorFlow PyTorch scikit-learn XGBoost FAISS SentenceTransformers

⚙️ Backend & Tools

FastAPI Spring Boot REST APIs PostgreSQL MySQL Neo4j Git Linux

☁️ Cloud

Azure Databricks Azure Synapse Azure Event Hub Azure Cosmos DB

🎨 Frontend & UI

React Streamlit Gradio

🔗 Connect With Me

LinkedIn GitHub

📊 GitHub Stats

GitHub Stats GitHub Streak
Top Languages

🏆 GitHub Trophies

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🤝 Let's Connect

LinkedIn GitHub

Always open to collaborating on AI/ML projects and interesting research problems.

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  1. ReasonKG ReasonKG Public

    A financial QA system that verifies every LLM-generated claim against a Neo4j knowledge graph — reducing hallucinations by 90% across Apple, Microsoft, Amazon, and NVIDIA earnings data.

    Jupyter Notebook

  2. BuyerTwin BuyerTwin Public

    AI-powered real estate copilot — buyer scoring, listing recommendations, and personalized outreach using XGBoost, FastAPI, PostgreSQL, and Groq API.

    JavaScript 1

  3. nyc-taxi-data-pipeline nyc-taxi-data-pipeline Public

    Graph analytics + Kafka streaming pipeline on NYC taxi data using Neo4j, Kubernetes, and Docker

    Python

  4. HCV-RAG-Clinical-Assistant HCV-RAG-Clinical-Assistant Public

    Domain-specific RAG pipeline for HCV clinical QA — FAISS vector search, SentenceTransformers, FLAN-T5 generation, Gradio UI, and BLEU/ROUGE/semantic similarity evaluation.

    Jupyter Notebook

  5. notary-ai notary-ai Public

    AI-powered document verification system — OCR text extraction, LLM-based field parsing, rule-based validation, and cross-document fraud detection using FastAPI and Tesseract.

    Python