Elizabeth Fuentes L

aws-private-assistant. Python

claude-code-dotfiles. Auto sync Claude Code dotfiles (~/.claude) across machines using Git. Keep CLAUDE.md, commands, hooks and settings always in sync.

aws-aiml-demo. Repositorio con notebooks sencillos para aprender a usar los servicios de AIML de AWS y explorar las tecnicas de prompt engineering

strands-agent-samples. 🤖 Production-ready samples for building multi-modal AI agents that understand images, documents, videos, and text using Amazon Bedrock and Strands Agents. Features Claude integration, MCP tools, streaming responses, and enterprise-grade architecture.

whatsapp-ai-agent-sample-for-aws-agentcore. A multichannel multimodal AI agent deployed on Amazon Bedrock AgentCore Runtime with Amazon Bedrock AgentCore Memory, demonstrated through two WhatsApp integration patterns. The agent processes text, images, audio, video, and documents, converting all multimedia into text understanding before storing it in memory

Iniciando_AWS_IoT. C++

why-agents-fail-sample-for-amazon-agentcore. 6 progressive demos to detect, prevent, and self-correct AI agent hallucinations, from Graph-RAG research to production deployment on Amazon Bedrock AgentCore

event-resources-website. The Event Resources Website project help me solve common event management challenges. This customizable static website runs on Amazon S3 and Amazon CloudFront, providing a professional platform to share event resources with attendees.

aws-scanvideo-codewhisperer. Crea una aplicación para scanear videos generando código de forma automática utilizando Code Whisperer

elizabethfuentes12. AI Engineer · AWS I help developers build production-ready AI applications through hands-on tutorials and open-source projects

meta-ai-agent-sample-for-aws-agentcore. Voice AI agent for Ray-Ban Meta glasses using Amazon Bedrock AgentCore and Strands Agents

Iniciando_SagemakerML. Jupyter Notebook

rag-postgresql-agent-bedrock. This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon

aws-qa-agent-with-bedrock-vectordb-s3-and-memory. Python

aws-qa-agent-with-bedrock-kendra-and-memory. Agent with memory capable of following a more fluid conversation to query the re:invent 2023 agenda by session ID or by description or general information, it also recommend a list of sessions according to your input.

eli-jr-apps. CSS

aws-chatbot-translator. Python

strands-agents-tools. A set of tools that gives agents powerful capabilities.

AWS_EduKit_101. IoT con EduKit 101

create-audio-video-embeddings. This project uses three AWS CDK stacks to create a complete video processing and search solution.

voice-agent-sample-for-amazon-bedrock-agentcore. TypeScript

how-to-evaluate-ai-agents-sample-for-aws. Demos for AI agent evaluation: LLM-as-judge, trajectory analysis, hallucination detection, cost benchmarks

aws-qa-rag-query-and-more-with-bedrock. Jupyter Notebook

de-la-mente-a-la-pantalla. De la mente a la pantalla: Genera imágenes en cualquier idioma.

first-steps-with-analytics-in-aws. Python

AWS_ScanVideoS3Rekognition. Scan Amazon S3 buckets for content moderation using S3 Batch and Amazon Rekognition

AWS_Transcribe_to_subtitles. With this repo you can generate subtitles and also translate them into the language you want

AWS_CDK_playground. Iniciando en AWS CDK

bedrock-agentcore-samples. This repository contains hands-on labs demonstrating the capabilities of Amazon Bedrock AgentCore, a suite of services that enables you to deploy and operate highly effective AI agents securely at scale

langchain-embeddings. This repository demonstrates the construction of a state-of-the-art multimodal search engine, leveraging Amazon Titan Embeddings, Amazon Bedrock, and LangChain.

aws-recomendador-anime. Aplicación de Recomendador de Anime utilizando Amazon Personalize en tiempo real.

aws_aiml-like-api-in-your-app. Sample code for adding AI/ML services to your app

aws-demo-strands-agents-hands-on-workshop. Jupyter Notebook

stop-ai-agent-hallucinations-workshop. Jupyter Notebook

aws-multimodal-agent-tutorial. Build production-ready AI agents with the Strands Agents SDK and AWS services. This repository demonstrates how you can create multi-modal systems with persistent memory in minimal code. Progress from your first agent to production-ready systems through hands-on chapters.

why-agents-fail-sample-for-aws. How to stop AI agents from hallucinating and wasting tokens. Working demos: Graph-RAG, semantic tool selection, neurosymbolic guardrails, DebounceHook — built with Strands Agents

marketingskills. Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.

stop-wasting-tokens-sample-for-aws. Jupyter Notebook

resilient-agent-harness-sample-for-aws. Five runnable demos for building resilient AI agents with Strands Agents: chaos-test the agent's tools, gate memory writes to stop hallucinations, defend against memory poisoning and prompt injection, verify multi-step tasks against the backend, and let an agent write its own tools. Runs on OpenAI or Amazon Bedrock.