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AI Engineer
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AWS
Data Scientist
June 21, 2026 – Present
why-agents-fail-sample-for-amazon-agentcore
March 26, 2026 – Present
6 progressive demos to detect, prevent, and self-correct AI agent hallucinations, from Graph-RAG research to production deployment on Amazon Bedrock AgentCore
View Projectwhatsapp-ai-agent-sample-for-aws-agentcore
March 18, 2026 – Present
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
View Projectclaude-code-dotfiles
March 9, 2026 – Present
Auto sync Claude Code dotfiles (~/.claude) across machines using Git. Keep CLAUDE.md, commands, hooks and settings always in sync.
View Projectsample-amazon-connect-social-integration
February 6, 2026 – Present
This repository provides code samples and patterns for integrating Social Media with Amazon Connect using Chat. Each use case demonstrates common integration patterns with complete implementations using AWS CDK.
View Projectevent-resources-website
August 30, 2025 – Present
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.
View Projectstrands-agent-samples
July 24, 2025 – November 14, 2025
🤖 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.
View Projectaws-aiml-demo
August 23, 2023 – October 10, 2024
Repositorio con notebooks sencillos para aprender a usar los servicios de AIML de AWS y explorar las tecnicas de prompt engineering
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and development within the AWS ecosystem, particularly in AI/ML. This indicates a proactive and self-driven learning style. The current role as 'Data Scientist' at AWS aligns well with the target role, suggesting a good understanding of the domain. However, the lack of diverse project types beyond AWS AI/ML might indicate a narrower focus, potentially impacting adaptability to broader data science challenges outside this specific niche.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.