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Coding from home
:octocat:
Coding from home

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Karthikvenugopal/README.md

Hi there, I'm Karthik 👋

  • 🌱 I’m currently a student at USC getting into AI 🧪

  • 👯 I’m looking to for full-time opportunities 💻

  • 🤓 I'm getting into Physical AI 🤖

  • 📫 How to reach me: ping me on LinkedIn or email me 📧

  • ⚡ Fun fact: 92% of the world's currency exists only on computers 🔥

    My Awesome Stats

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  1. Claim-Level-Halluciantion-Detection Claim-Level-Halluciantion-Detection Public

    A claim-level fact-checking system that uses RoBERTa to spot unsupported or contradictory scientific claims.

    Python

  2. Multi-Source-Research-Analyst-Agent Multi-Source-Research-Analyst-Agent Public

    An LLM-powered AI agent that researches any question across the web, Wikipedia, and academic papers, then writes a clear, source-cited report. Built and automatically tested in Python.

    Python

  3. Real-Time-Content-Moderation-and-Safety Real-Time-Content-Moderation-and-Safety Public

    Real-time multi-source content moderation pipeline for Bluesky and YouTube using Redpanda, Faust, Ollama, online topic clustering, Redis TimeSeries, and Streamlit.

    Python

  4. End-to-End-MLOps-Pipeline-for-Fraud-Detection End-to-End-MLOps-Pipeline-for-Fraud-Detection Public

    Production-ready MLOps pipeline for real-time fraud detection with XGBoost, PyTorch, MLflow, FastAPI, drift monitoring, and Docker.

    Python

  5. nim-multimodal-agent nim-multimodal-agent Public

    Multimodal agentic RAG on NVIDIA NIM: a LangGraph agent that routes retrieved figures through a Nemotron vision-language model and validates grounding with an LLM-as-judge benchmark.

    Python

  6. RecallGraph RecallGraph Public

    Evidence-grounded recall tracing with LLM-assisted extraction, deterministic graph analysis, and auditable human review.

    Jac