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AdamMes/README.md

Hi, I'm Adam 👋

AI Engineer · LLM Systems, RAG & Autonomous Agents

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I design and deploy production-ready GenAI applications—LLM orchestration, RAG pipelines, and autonomous agents—bridging research and reliable infrastructure.

Quick highlights

  • ✅ 5 years web development experience.
  • ⚙️ Production LLM orchestration (OpenAI, Claude, Gemini, Ollama).
  • 🧭 RAG & vector search (FAISS), LangChain, multi-agent systems.
  • ☁️ Infra & automation: Python (FastAPI), AWS Bedrock, Lambda, S3, MCP servers.
  • 🔁 CI/CD and workflow automation for AI-native products.

Tech stack

HTML5 Sass JavaScript jQuery Python Docker MCP RAG LLMs Vibe coding Ollama HuggingFace AWS N8N FastAPI Flask FAISS PHP WordPress Drupal


Education & Certifications

  • DevOps Experts — Professional Certificate, AI Engineering (Jan 2026 – Jul 2026)
  • HackerU — Professional Certificate, Full Stack Developer / Web Developer (Sep 2019 – Apr 2020)

Featured Projects

  • VoyaNode — State-of-the-art Retrieval-Augmented Generation (RAG) system designed to transform travel documents (PDFs) into an interactive, intelligent travel assistant. Built on AWS Serverless architecture, it leverages high-performance vector search and generative AI to provide factual, context-aware travel advice.

  • N8N Intelligent cloud finance document analyst — An automated document ingestion and semantic analysis pipeline. The system monitors a local folder for corporate financial documents (PDF, TXT, and DOCX), extracts text and embedded images via a Python FastAPI microservice, orchestrates the pipeline in n8n, analyzes content with Google Gemini, enriches metadata, and exports results to Google Sheets, Gmail, and local JSON/Markdown files.


GitHub Stats

GitHub stats Top languages


Thanks for visiting — feel free to reach out if you want to collaborate on AI systems, RAG pipelines, or autonomous agents.

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    Adam Meshulam — AI Engineer: LLMs, RAG, autonomous agents, LangChain, AWS Bedrock. Contact: adammes23@gmail.com