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g-nitin/README.md

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Portfolio LinkedIn Google Scholar

  • 🌍  I'm based in Atlanta, Georgia
  • ✉️  You can contact me at niting1209@gmail.com
  • 📚  I recently completed my M.S. in Computer Science at the University of South Carolina, where I focused on AI.
  • 🧠  My background includes neuro-symbolic AI, natural language processing, automated planning, and multimodal evaluation.
  • 🚀  I'm currently working at Capgemini as an Associate Consultant in the Insights & Data practice, at AIISC under Dr. Biplav Srivastava, on the On The Books project at USC.

Selected work

  • ArtEdge: Real-time neural style transfer for iOS using PyTorch and Core ML.
  • Beacon of Hope: A context-aware meal recommendation system for personalized nutrition.
  • RoostAI: A university-focused RAG chatbot with retrieval, reranking, and evaluation workflows.

Tools and interests

Languages: Python, C++, Java, JavaScript, SQL
Tools: PyTorch, Core ML, Git, Linux, LaTeX
Interests: Applied AI, NLP, explainable systems, automated planning, and data-driven products

Pinned Loading

  1. csce585-mlsystems/RoostAI csce585-mlsystems/RoostAI Public

    RoostAI: A University-Centered Chatbot

    Python 6 1

  2. ai4society/LLM-Planning-Viz ai4society/LLM-Planning-Viz Public

    Visualization Tool for ICAPS 2024 and 2025 paper "On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps)"

    Jupyter Notebook 10 2

  3. SCCapstone/beacon-of-hope SCCapstone/beacon-of-hope Public

    TypeScript 5

  4. ArtEdge ArtEdge Public

    ArtEdge: Real-Time Neural Style Transfer (NST) for Mobile Devices

    Python 2

  5. ai4society/GenAIResultsComparator ai4society/GenAIResultsComparator Public

    A Python library providing evaluation metrics to compare generated texts from LLMs, often against reference texts. Features streamlined workflows for model comparison and visualization.

    Python 10 2

  6. ai4society/Traffic-Data-Analysis ai4society/Traffic-Data-Analysis Public

    Data analysis and interactive visualizations to evaluate young driver safety.

    HTML 1 1