Nathan Sanchez

• Modernizing enterprise IAM platform with role-based access controls supporting 10,000+ enterprise users
• Migrating admin and self-service capabilities from legacy Tomcat services into modern Blazor + .NET Core portal
• Built reusable frontend components for dynamic form rendering and identity-based workflow automation
• Implemented granular access control features supporting Admin, Delegated Admin, and End User roles
• Developed PowerShell CLI tools automating local environments with Docker, LocalStack, and real-time log tailing
• Designed JWT-authenticated API endpoints maintaining interoperability with legacy Tomcat infrastructure

• Maintained HPC Cloud On-Demand platform supporting multi-cloud orchestration across AWS, Azure, GCP, and Oracle
• Built Go service managing ephemeral demo sessions with JWT parsing, SSH credential creation, and lifecycle cleanup
• Optimized React cluster UI and MongoDB queries for improved performance and user experience
• Reduced AWS infrastructure costs by 30% through automated resource cleanup tools across development teams
• Participated in CI/CD cycles and infrastructure reliability improvements for cloud bursting deployment scenarios
• Co-developed Next.js demo portal with MongoDB backend and secure iframe delivery for infrastructure simulation

• Completed full-stack program covering React, Node.js, and MongoDB in a collaborative peer-led environment
• Delivered freelance projects for restaurant and solar company clients with UI forms and backend integrations
• Mentored junior developers and led development sprints for production-ready applications
• Gained hands-on experience with Git workflows, REST API development, and collaborative debugging practices

Go, PostgreSQL, Docker, Kubernetes

• Engineered high-performance observability system achieving sub-10ms query times using PostgreSQL with strategic indexing
• Built secure REST APIs with rate limiting and authentication, supporting 100+ concurrent clients through thread-safe handlers
• Designed distributed trace lifecycle with parent-child span relationships for microservice monitoring
• Implemented comprehensive filtering, pagination, and real-time log correlation across services
• Created production-ready deployment with Docker containerization, migration tooling, and detailed documentation

C#, .NET Core, OpenAI, Anthropic, NuGet

• Developed unified SDK supporting OpenAI and Anthropic Claude models with consistent request handling
• Implemented advanced prompt workflows with multi-turn chat, dynamic memory, and intelligent parameter tuning
• Built enterprise features including retry logic, proxy support, and automatic model-specific parameter optimization
• Created comprehensive testing console with model selection, session history, and real-time validation
• Published to NuGet with extensive documentation and examples, adopted by 500+ developers