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ArpanMoharana/README.md

Hi 👋, I'm Arpan Kumar Moharana

Typing SVG



📖 About Me

  • Passionate about building AI-powered, data-driven, and intelligent software solutions that solve real-world problems.

  • My interests include Machine Learning, Generative AI, Natural Language Processing (NLP), Data Analysis, and Retrieval-Augmented Generation (RAG).

  • I enjoy developing applications using Python, PyTorch, TensorFlow, LangChain, Hugging Face, SQL, and modern AI technologies, with a focus on practical implementation and continuous learning.

  • My work includes projects in deep learning, medical image analysis, document-based question answering, and software development, combining research with real-world problem-solving.

  • Through experience in XR development, software engineering, and AI development, I have worked with technologies such as Unity, C#, Java, MySQL, and modern development workflows.

  • Currently focused on growing as an AI Engineer and Generative AI Developer, while exploring emerging technologies and building impactful solutions.

💡 Core Competencies

  • 🔭 Currently: Focused on Machine Learning, Data Science, and AI-driven systems
  • 🌱 Learning: Generative AI, Deep Learning, and real-world ML pipelines
  • 🤝 Looking to collaborate on: AI, ML, Data Science, and intelligent systems
  • 💬 Ask me about: Python, SQL, ML basics, data analysis, and system design
  • 📫 Reach me at: arpkumo4@gmail.com

🛠 Languages and Tools

⚡ Additional Experience

  • Worked on XR/VR projects using Unity, focusing on gameplay systems, UI, and data persistence
  • Strong foundation in building data-driven applications and ML-based solutions
  • Continuously exploring ways to combine AI + real-world applications

Pinned Loading

  1. Hybrid-CNN-GNN-with-SAM-for-Brain-Tumor-Segmentation Hybrid-CNN-GNN-with-SAM-for-Brain-Tumor-Segmentation Public

    An AI-based system that detects and segments brain tumors from MRI images using a hybrid CNN–GNN architecture with automated SAM refinement for improved accuracy and boundary precision.

    Jupyter Notebook

  2. Webpage-RAG-System-with-Gemini-and-SentenceTransformer Webpage-RAG-System-with-Gemini-and-SentenceTransformer Public

    Retrieval-Augmented Generation demo: Webpage → Sentence-Transformer embeddings → ChromaDB → Gemini 2.5 Flash (LangChain). Local embeddings, reproducible notebook and demo code.

    Jupyter Notebook

  3. NLP-to-Spark-SQL-Agent NLP-to-Spark-SQL-Agent Public

    An AI agent built with LangChain and PySpark that translates natural language questions into Spark SQL queries.

    Jupyter Notebook

  4. Real-Time-News-Intelligence-Engine Real-Time-News-Intelligence-Engine Public

    A CONCEPT - WORK IN PROGRESS

    Python

  5. Semantic-Vector-RAG-QA-System Semantic-Vector-RAG-QA-System Public

    This repository presents a local **Retrieval-Augmented Generation (RAG) Question Answering system** built using LangChain, ChromaDB, HuggingFace embeddings, and Ollama (Mistral). In addition, it in…

    Python

  6. Sports-Performance-Analysis-Dashboard Sports-Performance-Analysis-Dashboard Public

    A JavaFX-based Sports Performance Analysis Dashboard that allows athletes and coaches to input player data, visualize performance trends, track historical metrics, and generate actionable insights.…

    Java