📧 [email] | 🔗 linkedin.com/in/confessore | 💻 github.com/confessore | US Citizen – Eligible for Security Clearance
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Core Competencies
• Technical leadership & system architecture • Reusable, program-agnostic platform design • Clean Architecture & CQRS patterns • Full SDLC ownership, end to end • DevSecOps & GitOps pipeline engineering • Kubernetes & container orchestration • Enterprise system integration • Requirements analysis & stakeholder translation • AI/LLM integration • Production reliability & observability Technical Skills Languages & Frameworks: C#, .NET, Blazor, Avalonia, Xamarin/MAUI, EF Core, MediatR, SignalR Architecture: Clean Architecture, CQRS, MVVM, plugin/adapter-based platform design Cloud & DevOps: Kubernetes, OpenShift, Palette, Talos, Docker, Podman, Proxmox, GitLab CI, ArgoCD, Harbor, GitOps, AWS S3 Data & Integration: SQL, SAP HANA, SAP S/4HANA, IBM Db2, Redis, MCP (Model Context Protocol) JSON-RPC Observability: Splunk, Grafana, Tableau Tooling: Git, Linux Education BA, Psychology – University of North Florida, Jacksonville, FL Certifications • Reinforcement Learning – Lockheed Martin • MLOps – Lockheed Martin • AI/ML Ethics & Security – Lockheed Martin Awards & Honors • Arctic Code Vault – GitHub Archive Volunteer / Projects • Non‑Profit Infrastructure – design and manage infrastructure for an organization supporting employment opportunities for individuals with special needs • Personal Lab – design & deployment of self‑hosted, containerized services References available upon request. |
Professional Summary
Strategic Full Stack Software Engineer with 10+ years of enterprise software experience, serving as technical lead and architect for a portfolio of 12+ production systems at Lockheed Martin. Designed and built an abstract, program-agnostic test data logging platform — originally delivered for one program and since adopted as the shared solution across multiple programs operating test stations. Sets architecture and delivery standards (Clean Architecture, CQRS, GitOps) for systems used by technicians, engineers, and administrators across Ocala and Orlando and every 1LMX-onboarded business area. Built an AI-powered manufacturing data platform using the Model Context Protocol. Across the portfolio's systems and platforms, handles 1,000+ API calls a day. Owns delivery through a Kubernetes/GitOps pipeline on AWS averaging ~15-minute deployments. Professional Experience Software Dev Analyst – Lockheed Martin (2023‑Present) Technical Leadership & Architecture – Serve as technical lead and architect across a portfolio of 12+ concurrent production systems spanning manufacturing, data management, test data logging, and equipment calibration domains. – Set and enforce architecture standards (Clean Architecture, CQRS/MediatR, MVVM) adopted across the portfolio to keep mission-critical systems maintainable as they scale to new sites and business areas. – Work directly with customers and stakeholders to translate business requirements into technical roadmaps, owning each system end to end from design through production. Key Systems – Enterprise Test Data Logging Platform — designed and built an abstract, program-agnostic platform for recording test station data. Originally delivered for one program; its extensible, config-driven design let it be adopted as the shared logging solution across multiple programs operating test stations. Blazor, EF Core, Clean Architecture – Manufacturing Data Integration & AI Query Platform — aggregates manufacturing data from APRISO (SAP HANA), SAP S/4HANA, and INDYSOFT (IBM Db2) behind a natural-language interface via a Model Context Protocol (MCP) server for shop floor operations. Blazor Server, MCP JSON‑RPC, SAP HANA, IBM Db2, Redis caching – Manufacturing Compliance System — tool placard management, revision tracking, and audit capabilities used across multiple sites. Blazor Server, CQRS/MediatR, Clean Architecture, S3 storage – Cross-Platform Calibration System — real-time equipment monitoring for technicians, with auto-update capability, deployed as both desktop and web. Avalonia (desktop), Blazor (web), SignalR, MVVM – Labor Analytics Platform — enterprise data visualization enabling labor hours, labor runtime, and standards-earned reporting. Blazor WebAssembly, EF Core, OpenID Connect Delivery & Operations – Own a GitOps delivery pipeline (GitLab CI → Harbor → ArgoCD) with semantic versioning, deploying to Kubernetes on AWS with an average deployment time of ~15 minutes. – Serve users across Ocala and Orlando and every business area onboarded to 1LMX, with systems designed to onboard remaining business areas as they migrate. – Own production reliability: proactive monitoring and incident response using Splunk and Grafana for systems relied on by dozens to hundreds of users daily. |