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Projects

Here are some of the projects I've worked on, showcasing my skills in cloud architecture, software development, and automation.

Cloud Resume Challenge

Completed the Cloud Resume Challenge, demonstrating cloud skills by building a dynamic resume hosted on AWS with a visitor counter powered by DynamoDB, while also publishing technical blog posts on the journey.

  • Tech Stack: AWS Lambda, DynamoDB, S3, CloudFront, API Gateway, CloudFormation
  • Role: Developer and Writer
  • Highlights:
  • Deployed a fully serverless solution with Infrastructure as Code
  • Integrated a visitor counter with DynamoDB and real-time updates
  • Implemented CI/CD pipeline with AWS CodePipeline
  • Published articles on Medium sharing insights from the project
  • Next Phase: Planning Kubernetes version with EKS, microservices architecture

📖 Read Full Case Study - Detailed implementation guide from start to finish

Antesdefirmar.com

My own project, currently in development, dedicated to creating a website that provides legal advisory services with AI. The platform aims to assist users in reviewing contracts and receiving legal insights automatically.

  • Tech Stack: AWS Lambda, API Gateway, S3, AI/ML tools
  • Role: Founder and Developer
  • Highlights:
  • Developing AI-powered legal document analysis
  • Implementing secure cloud-based storage for legal documents
  • Integrating AI models to provide contract review insights

Wine Recognition & Tasting Notes App

Status: Currently in Development

An innovative mobile application that uses computer vision and machine learning to identify wines from photographs and provide detailed tasting notes and recommendations. This project combines my passion for wine with cutting-edge AI technology.

  • Tech Stack: Python, Computer Vision, AWS Rekognition, Machine Learning, Mobile Development
  • Role: Developer and Wine Enthusiast
  • Planned Features:
  • Wine bottle and label recognition using image analysis
  • Automated tasting notes generation based on wine characteristics
  • Personal wine collection tracking and rating system
  • Wine pairing recommendations
  • Social sharing capabilities for wine experiences
  • Technical Approach:
  • Computer vision models for accurate wine identification
  • Integration with comprehensive wine databases and APIs
  • Machine learning algorithms for taste profile analysis
  • Cloud-based image processing pipeline for scalability

Expected Launch: Q4 2025