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larrymargerum01/README.md
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👨‍💻 About Me

name: Larry Margerum
role: Full Stack & AI Engineer
location: Hel, Poland
experience: 5+ years in Full Stack & AI
focus:
  - AI Engineering & LLM Applications
  - Full-Stack Application Development
  - Machine Learning & Data Solutions
  - Cloud, DevOps & Secure Deployment
education: Computer Science @ Warsaw University of Technology
languages:
  - English (advanced)
currently:
  - 🔭 Building Full Stack AI Systems
  - 💬 Ask me about: LLM, Machine Learning, Full Stack Development

🏗️ Key Projects

🔭 AI Engineering & LLM Applications

Building intelligent applications using LLM, LangChain, Rag Systems, AI Agents, Hugging Face Transfomers, Prompt Engineering, AI Automation

🔥 Full-Stack Application Development

Creating scalable web applications with React.js / Next.js, TypeScript, Node.js, FastAPI, REST APIs, Modern UI/UX systems

📊 Machine Learning & Data Solutions

Developing data-driven systems with Python, PyTorch, Machine Learning models, Data processing pipelines, Model integration, AI-powered analytics

🌎 Cloud, DevOps & Secure Deployment

Building production-ready infrastructure with AWS, Docker, CI/CD, GitHub Actions, Secure AI deployment, LLM security and prompt injection prevention

⚡ Tech Stack & Certifications

🛠️ Tech Stack




🏅 Certifications


📈 Analytics & Activity

GitHub Stats Top Languages

GitHub Streak


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💬 Let's connect and build observable systems together!


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  1. AI-Saas-Platform AI-Saas-Platform Public

    Built an AI SaaS Platform that enables users to access multiple AI-powered tools through a unified dashboard, including content generation, document analysis, chat assistants, and workflow automati…

    TypeScript 16 1

  2. Coding-Assistant Coding-Assistant Public

    Open-source AI agent platform for autonomous software development. It can write code, run terminal commands, debug applications, review pull requests, and automate engineering tasks across local, c…

    Python 6

  3. Agent-Engine Agent-Engine Public

    An open-source framework for building stateful, multi-agent AI applications. It helps developers create reliable AI workflows with memory, human-in-the-loop capabilities, tool calling, and long-run…

    Python 6

  4. LLM-Platform LLM-Platform Public

    Open-source LLM application development platform that combines AI workflows, RAG pipelines, agents, model management, and observability to help teams build and deploy production-ready AI applications.

    TypeScript 6

  5. Multi-Agent-Research-Assistant Multi-Agent-Research-Assistant Public

    Developed a Multi-Agent Research Assistant that coordinates specialized AI agents to search, analyze, summarize, and synthesize information from multiple sources, delivering comprehensive, citation…

    Python 14