Things I've built, things I'm building, and things that are coming.
Problem: K–12 transportation programs lacked affordable, real-time visibility into fleet operations and student safety.
Solution: Built a multi-tenant SaaS platform with real-time GPS tracking, live map visualization, and white-label support for vendor isolation. Designed the architecture to be sector-agnostic for expansion beyond student transport.
Impact: Significantly reduced GPS tracking costs, enabled real-time fleet monitoring for school districts, and laid the foundation for a scalable multi-sector platform.
Problem: Translating requirements into working code is manual, error-prone, and lacks traceability between specs and implementation.
Solution: Built an AI-powered pipeline that ingests requirements, plans implementation, generates code across multiple languages, runs tests, and validates output — with automatic design pattern detection and full audit trail.
Impact: End-to-end automation from requirements to tested code, with complete traceability at every stage.
Problem: Creating and validating complex engineering documents for defense contracts is heavily manual, time-consuming, and prone to compliance gaps.
Solution: Designed an AI system that automates document creation and validation with built-in traceability and auditability. Deployable across air-gapped, networked, and cloud environments.
Impact: Reduced manual document effort significantly while maintaining full compliance and audit readiness.
Problem: SDLC tasks — requirements, architecture, code generation, testing, review, debugging — are disconnected and lack traceability across the pipeline.
Solution: Building an AI agent platform where specialized agents collaborate across the SDLC — with quality gates that reject bad work, audit trails for every decision, and human override when the AI can't figure it out. Configurable for different environments and industries. My own IP, built from scratch.
Impact: Configurable across aerospace, finance, healthcare, industrial, and consulting. Full traceability from requirement to deployed artifact. My own IP, built from scratch. Name reveal coming soon.
Problem: Drone platforms are tightly coupled to specific hardware, making testing and validation non-portable across devices.
Solution: Building a device-agnostic abstraction layer for flight control and telemetry logging. Python for rapid prototyping, C/C++ for embedded integration.
Goal: A single interface contract that works across consumer drones, enterprise platforms, and simulators.
Problem: RF signal analysis tools are typically standalone and disconnected from system-level validation workflows.
Solution: Building a signal monitoring and spectrum analysis layer. Python for prototyping, C/C++ for performance-critical signal processing.
Goal: Correlated signal and system data in a single timeline for comprehensive validation.
Problem: Portfolios are static. Visitors can't ask questions or explore beyond what's on the page.
Solution: Building an AI-powered chatbot trained on my experience. Ask it anything about my background, projects, or tech stack.
Goal: An interactive way to explore 25+ years of engineering experience. Coming soon.