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Vedant-ghadi/README.md

Data Science · AI/ML Engineer · LLMs · Agentic AI · RAG Systems


🧠 About Me

✨ I’m a Data Science student at The University of Sheffield, exploring the frontier of LLMs, RAG systems, agentic AI, and multi-agent workflows.
🌙 My work blends clean engineering with the smooth, minimal aesthetic precision, and clarity.
🧩 I enjoy designing fast, scalable, and thoughtful AI systems that solve real-world problems.
⚡ I believe in constant iteration — learning, experimenting, refining, improving.
📡 Currently exploring advanced NLP pipelines, embeddings, retrieval systems, and high-performance inference.


🛠️ Tech Stack

🔹 Core ML / AI

🔹 Backend & Frameworks

🔹 Databases & Tools

🔹 AI / LLM Ecosystem

HuggingFace LangChain SAS


🌌 GitHub Stats


🔗 Connect With Me


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  1. Sheffield-caz-analysis Sheffield-caz-analysis Public

    Time series analysis of Sheffield's Clean Air Zone effectiveness: ARIMA forecasting, Prophet modeling, ITS regression. Proven 30-44% NO₂ reduction with statistical significance (p<0.001). Complete …

    R

  2. Data-Visualisation-scripts Data-Visualisation-scripts Public

    Impact of Sheffield Clean Air Zone on NO₂ Pollution: A Multi-Scale Visual Analysis

    R

  3. NeuralNetworksScratch NeuralNetworksScratch Public

    Forked from varunnnnsonii/NeuralNetworksScratch

    building and learning NNs from scratch

    Python