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suryaprakashsiddina/README.md

💫 About Me:

👋 Hi, I'm Surya Prakash Siddina

🎓 M.Tech student in Artificial Intelligence & Data Science at VIT with a strong interest in Machine Learning, Data Science, Generative AI, and Software Development.

💻 I enjoy building AI-powered applications, working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Deep Learning, and Data Analytics. My projects focus on solving real-world problems using data-driven approaches and intelligent automation.

🚀 Currently exploring advanced AI systems, scalable ML solutions, and open-source contributions while continuously improving my problem-solving skills through Data Structures & Algorithms.

📚 Qualified GATE 2025 (CSE) and solved 250+ problems on LeetCode and Codeforces.

🔧 Tech Stack: Python, SQL, Machine Learning, Deep Learning, NLP, Generative AI, TensorFlow, PyTorch, Scikit-learn, Pandas, Docker, Git, Tableau.

🌱 Always learning, building, and contributing to impactful technology.

🌐 Socials:

Portfolio LinkedIn Email Instagram

🏆 Competitive Programming

LeetCode Codeforces HackerRank

  • Active participant in competitive programming and algorithmic problem solving

🏅 LeetCode Badges

50 Days Badge 100 Days Badge

📈 LeetCode Stats

🔥 Codeforces Stats

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💻 Tech Stack

Python C HTML5 NumPy Pandas Matplotlib SciPy scikit-learn TensorFlow PyTorch LangChain RAG Prompt Engineering FastAPI Flask Streamlit OpenCV MySQL Git GitHub Docker Netlify

📊 GitHub Stats:

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  1. Rag-with-Summarized-Chain Rag-with-Summarized-Chain Public

    Built an end-to-end Retrieval-Augmented Generation (RAG) application using Python, embeddings, vector databases, and LLMs for intelligent document querying and summarization.

    Python 1

  2. multi-agent-skeptical-researcher multi-agent-skeptical-researcher Public

    A multi-agent AI research system that performs skeptical analysis, validation, and self-evaluation to generate more reliable research outputs.

    Python 1

  3. Self-Pruning-Neural-Networks-Dynamic-Sparsity-Learning-for-Efficient-Image-Classification Self-Pruning-Neural-Networks-Dynamic-Sparsity-Learning-for-Efficient-Image-Classification Public

    This project implements a self-pruning neural network for CIFAR-10 classification, where learnable gate parameters enable dynamic removal of less important weights during training. Using L1 regular…

    Jupyter Notebook 1

  4. discharge-summary-agent discharge-summary-agent Public

    Agentic AI for clinical PDFs – extracts patient notes, performs medication reconciliation, flags missing/pending data, and generates structured, safe discharge summaries without fabricating clinica…

    Python

  5. DSA-WITH-PYTHON DSA-WITH-PYTHON Public

    Collection of Data Structures and Algorithms implementations and coding problem solutions in Python.

    Python 1

  6. ml-docker-project ml-docker-project Public

    Containerized Machine Learning application that serves a trained model for predictions using Python and Docker.

    Python 1