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manideepa03/README.md

Hi there, I'm Manideepa 👋

Welcome to my GitHub profile! I'm a java fullstack software developer exploring the exciting world of artificial intelligence.
I have a strong foundation in computer science and backend development, and I'm currently expanding my skills into AI, automation, and cloud-native technologies.


👨‍💻 About Me

  • 💻 I have strong experience in Java, including building microservices, REST APIs, and enterprise-grade backend systems.
  • ⚙️ I’m skilled in Spring Boot, SQL databases, messaging services, cloud and designing scalable distributed systems.
  • ⚛️ I also work with React, creating clean, component-driven UIs and integrating them with modern backend services.
  • 📫 How to reach me: [email protected]
  • 😄 Pronouns: She/Her
  • ⚡ Fun fact: I’ve attended multiple tech conferences just to learn and connect with people who love building cool stuff

📜 Certifications & Advanced Training

  • CKAD – The Linux Foundation (2026): Production-grade Kubernetes deployment, networking, scaling, and troubleshooting of containerized applications.
  • Building Agents – Udacity (2026): Designed agentic RAG systems using ChromaDB, tool-calling, and evaluation pipelines.
  • MCP Servers with Python & OpenAI Agents – CodeSignal (2025): Built Python-based MCP servers enabling AI agents to execute tools and access real-time services.
  • Agentic Workflows – Udacity (2025): Implemented multi-agent orchestration with planning, tool integration, and workflow coordination.
  • Spring Boot REST API – CodeSignal (2025): Developed scalable REST APIs using Spring Boot, JPA, and layered architecture patterns.
  • Amazon EKS Auto Mode Workshop – AWS (2025): Deployed and managed Kubernetes workloads using Amazon EKS automation.
  • Prompting for Effective LLM Reasoning – Udacity (2025): Engineered structured multi-stage prompt pipelines with validation and refinement loops.
  • Introducing Generative AI with AWS – Udacity (2025): Applied foundational GenAI patterns using AWS-based model integration.

Exploring AI

  • 🔭 I’m currently working on building multi-agent systems and cloud-based backend services.
  • 🌱 I’m currently learning LLM orchestration, Semantic Kernel, and Java-based AI integrations.
  • 👯 I’m looking to collaborate on open-source AI projects, developer tooling, and intelligent automation systems.
  • 🤔 I’m looking for help with deploying scalable multi-agent frameworks and AI workflow optimization.
  • 💬 Ask me about AI agents, Java, cloud technologies, and product strategy.

🧠 Skills

💻 Programming: Java, Python, C, SQL, JavaScript, HTML5, CSS3

⚙️ Frameworks: Spring Boot, Vaadin, Hibernate, React.js, React Native, Node.js, REST, ActiveMQ

🧩 AI & LLM Technologies: OpenAI API, Model Context Protocol (MCP), Effective LLM Prompting, Agentic Workflows, Semantic Kernel, AI Automation Tools

🗄️ Databases / Servers: MS SQL Server, MySQL, Apache Tomcat, JBoss

☁️ Cloud / DevOps Tools: AWS, Docker, Kubernetes, Jenkins, GitHub, Azure DevOps

🧪 Testing / Tools: JUnit, Mockito, Splunk, IntelliJ, Log4j, Eclipse, Visual Studio Code

🎓 Relevant Coursework: Algorithms, Data Structures, Databases, Data-Driven Software Engineering


📚 Projects & Highlights

  • 📈 Learning Series: Exploring how AI and LLMs can be integrated into traditional enterprise Java systems.

🌐 Connect with Me

Feel free to reach out if you’d like to collaborate, discuss ideas, or just chat about technology:


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  1. GenerativeAI GenerativeAI Public

    Learning generative AI one step at a time

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  2. AgenticAI AgenticAI Public

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