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danula-rathnayaka/README.md

Hi πŸ‘‹, I'm Danula Rathnayaka

πŸ‘©β€πŸ’» About Me

Artificial Intelligence & Data Science undergraduate at Robert Gordon University, with a strong foundation in full-stack software engineering and a core focus on building intelligent AI-driven systems. My passion lies in developing scalable, production-ready solutions that integrate backend services, user-friendly interfaces, and cutting-edge machine learning.

I am currently looking into Agentic AI, Large Language Models (LLMs), and modern AI architectures, with hands-on experience in multi-agent orchestration, vector databases, and real-time data processing. Alongside my AI expertise, I bring solid skills in frontend frameworks, RESTful APIs, cloud infrastructure, and DevOps pipelines, enabling me to work across the entire software development lifecycle.

From building dynamic web platforms to leading AI-focused projects, I strive to deliver impactful, future-ready solutions through innovation, collaboration, and continuous learning.

🌐 Connect with Me

πŸ›  Languages and tools

β€’ Languages – Python, Java, JavaScript, TypeScript, SQL, Dart, HTML, CSS
β€’ Frontend & Mobile – Next.js, ReactJS, Angular, Tailwind CSS, Material UI, Bootstrap, Electron.js, Flutter
β€’ Backend – Spring Boot, FastAPI, Flask, ExpressJS, RESTful APIs
β€’ Agentic AI – LangChain, LangGraph, LangSmith, Crewai, Pydantic, Ceylon AI
β€’ LLMs & Vector Databases – Ollama, OpenAI, Groq, Pinecone, Chroma, FAISS
β€’ ML, DL, NLP & CV – PyTorch, TensorFlow, Keras, scikit-learn, Hugging Face Transformers, BeautifulSoup, OpenCV, YOLO, Pandas, NumPy, Matplotlib, Seaborn
β€’ Cloud & Infra – AWS, Azure, GCP, Firebase, Microservices, Event-Driven Architecture, Apache Kafka
β€’ Containers & DevOps – Docker, Kubernetes, ZenML, MLflow, CI/CD, Git, GitHub, Liquibase
β€’ Databases – PostgreSQL, MongoDB, SQLite, MySQL
β€’ Testing – JUnit, Mockito, Swagger UI, Postman, unittest, PyTest

πŸ”₯ Github Contributions :

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πŸ’‘ Innovate, Create, Inspire

Focused on creating smart, scalable solutions with AI and strong engineering. Always excited to connect with developers and dive into new tech. Let’s create something amazing together!

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  1. KidneyXpert KidneyXpert Public

    AI-powered kidney disease classification using deep learning for automated diagnosis. Project integrates MLflow for experiment tracking, DVC for version controlling, providing a robust pipeline to …

    Jupyter Notebook

  2. StockSense_MCP_Server StockSense_MCP_Server Public

    A real-time stock market insights platform powered by an MCP server that aggregates news, sentiment, trends, and research from multiple sources using scraping tools and LLMs helping investors make …

    Python 2 1

  3. iphone_clone iphone_clone Public

    This project is a clone of the iPhone 15 website, built using React Vite. It mimics the design and functionality of the official website, showcasing the features and specifications of the iPhone 15…

    JavaScript

  4. hotel_reservation_system_backend hotel_reservation_system_backend Public

    Java

  5. hotel_reservation_system_frontend hotel_reservation_system_frontend Public

    HTML

  6. ai-resume-analyzer ai-resume-analyzer Public

    An AI-powered resume analyzer built with React, React Router, and Puter.js. Users can create job listings, upload resumes, and receive intelligent feedback as the app automatically matches candidat…

    JavaScript