I architect AI-driven solutions that turn engineering bottlenecks into competitive advantages.
I'm a Full Stack & AI Developer with 2.7+ years of hands-on experience building production systems that scale — from QA automation and backend architectures to intelligent agents that ship faster.
My expertise lies at the intersection of LLMs, RAG pipelines, MCP integrations, and cloud-native systems. I transform slow, manual processes into autonomous workflows that free engineering teams to focus on impact.
- Autonomous Agents & RAG: Building context-aware systems that integrate organizational knowledge (Jira, Confluence, Figma) with LLM reasoning
- QA Intelligence: Reducing test authoring cycles by 70.9% through intelligent automation and DOM capture
- Cloud Architecture: Designing microservices ecosystems with DDD principles, event-driven patterns, and independent deployment capabilities
- AI & LLM Integration: Prompt engineering, structured outputs, retrieval-augmented generation, and MCP server development
- Legacy Modernization: Migrating monolithic systems (PHP/Laravel) to modular, scalable architectures (NestJS, Angular)
| Dimension | Details |
|---|---|
| Challenge | QA teams manually cross-referenced Jira tickets, Confluence specs, and Figma designs to author test cases — a bottleneck that slowed releases and introduced errors. Knowledge lived in silos. |
| Solution | Built a RAG-powered autonomous agent that ingests and semantically indexes organizational knowledge across Jira, Confluence, and Figma via Google Cloud APIs. The agent generates context-aware Cypress E2E tests automatically, eliminating manual spec-gathering and reducing cognitive load. |
| Tech Stack | MCP LangChain Anthropic API Python Jira API Confluence API Figma API Google Cloud Cypress RAG |
| Impact | 70.9% reduction in test creation time (50h → 14.55h per sprint cycle). Zero manual context-switching. Tests are generated from the single source of truth. |
| Dimension | Details |
|---|---|
| Challenge | Monolithic application prevented independent deployments, created tight coupling between features, and slowed time-to-market for new modules. Scaling was coupled; refactoring was risky. |
| Solution | Architected a domain-driven design (DDD) migration to microservices on Azure. Modeled bounded contexts (Booking, Security, Profile, Management), deployed as independent services with async messaging. Implemented event-driven patterns for loose coupling. |
| Tech Stack | Azure Domain-Driven Design (DDD) Microservices C# .Net SQL Server |
| Impact | Independent deployments enabled 3x faster feature releases. Service ownership clarified; team velocity increased. Scaling became predictable per domain. |
| Repository | github.com/fourdreamsupc |
| Dimension | Details |
|---|---|
| Challenge | Travel booking required a seamless, secure mobile experience with real-time inventory management, cart persistence, and PCI-compliant payment processing. Mobile-first users expected instant responsiveness. |
| Solution | Developed a Flutter application with real-time cart synchronization, dynamic trip availability, and Stripe payment integration (PCI DSS compliant). Built a NestJS backend with event-driven order processing and WebSocket updates for live booking status. |
| Tech Stack | Flutter Dart NestJS TypeScript Stripe API WebSockets PostgreSQL JWT Auth Firebase |
| Impact | Sub-200ms payment processing. 99.5% uptime during peak bookings. Enabled 50K+ monthly transactions securely. |
| Repository | github.com/AdventureHub-AplicacionesMoviles |
| Dimension | Details |
|---|---|
| Challenge | Teams inheriting legacy codebases (PHP, VB.NET, old JavaScript) face manual, error-prone rewrites that take months. Automating modernization is underexplored. |
| Solution | Built an LLM-powered CLI tool that parses legacy code, identifies anti-patterns, and generates modernized implementations aligned to target frameworks and coding standards. Supports batch processing and configurable output rules. |
| Tech Stack | Python OpenAI API AST Parsing LLM Chains Click CLI |
| Impact | Reduces modernization effort from weeks to days. Standardizes architectural decisions across the codebase. Fully open-source. |
| Repository | github.com/DiegoDeLaFlor/Legacy-to-Modern-Architect |
| Focus | Advanced QA automation, CI/CD pipeline architecture, and performance engineering. |
| Key Projects | Jenkins-based CI/CD pipelines, BDD testing with Cucumber, Load & Stress testing suites for backend validation. |
| Tech | Jenkins Cucumber BDD JMeter Selenium Docker GitHub Actions |
| Repository | github.com/Diseno-de-Experimentos |
| Focus | HealthTech web application for dermatology clinic management and patient scheduling. |
| Key Projects | Dynamic calendar-based appointment booking, patient records system, secure credential management. |
| Tech | React Angular Node.js PostgreSQL JWT Auth Responsive Design |
| Repository | github.com/digital-ux-upc-open-source-2022-2 |
| Focus | Financial engineering platform for complex calculations and automated reporting. |
| Key Projects | NPV/IRR calculations, sensitivity analysis, automated report generation, data export pipelines. |
| Tech | Python Pandas NumPy Reporting APIs |
| Repository | github.com/Finanzas-e-Ingenieria-Economica-SI82 |
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Note: Public contribution metrics reflect open-source and personal projects. Significant production work resides in private organizational repositories (Mandü HR platform, enterprise QA tooling, client integrations) due to confidentiality agreements.
Beyond engineering, I run a YouTube channel exploring mystery, curiosity, and narrative-driven discovery. This creative practice sharpens my ability to:
- Structure complex ideas into compelling narratives
- Communicate technical concepts to non-technical audiences
- Produce high-quality content from research to delivery
The same discipline that powers a well-edited documentary applies to a well-designed system architecture.
I'm interested in:
- End-to-end AI solutions that enhance engineering velocity
- Cloud-native architectures solving complex business problems
- Open-source contributions advancing QA automation and DevOps tooling
- Technical mentorship helping teams scale intelligently
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