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Achievement: Pull Sharkx2

Achievements

Achievement: Pull Sharkx2

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@deep-target-nlp

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praagnya/README.md

Pragnya Narasimha

AI engineer · RAG, Agents & NLP · M.S. Data Science @ University of Arizona · Tucson, AZ

LinkedIn · Email · Website

AI Engineer shipping production LLM systems: RAG, multi-agent workflows, and guardrails. Recent work spans biomedical RAG (answers tied to papers and clinical evidence), ad-tech (large-scale ML and content safety), and applied NLP research @ University of Arizona.

I also build systems where models write and run code to check scientific claims, not just summarize them. I focus on reliable retrieval, safe outputs, and production quality.

Looking for full-time AI/ML engineering roles.

Python PyTorch LangGraph Docker AWS


GitHub

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  1. MetaMathAgent MetaMathAgent Public

    system capable of generating problems, reasoning through them, and learning from feedback using reinforcement learning, symbolic reasoning, and cognitive modeling.

    Python 1

  2. montezuma-sdrl-pytorch montezuma-sdrl-pytorch Public

    PyTorch-based implementation of Symbolic Deep Reinforcement Learning (SDRL) for the Atari game Montezuma's Revenge

    Python 1 1

  3. shopRAG shopRAG Public

    Chatbot that helps customers make informed purchasing decisions by answering questions about products based on real customer reviews

    Python

  4. torch-sim torch-sim Public

    Forked from TorchSim/torch-sim

    Torch-native, batchable, atomistic simulations.

    Python

  5. cricrank cricrank Public

    A web app for cricket matches, predictions, and related game mechanics.

    Python

  6. fifa-26 fifa-26 Public

    travel and match planning agent for the 2026 FIFA World Cup

    Python