(He, Him, His) [husband, father, hacker]
🧠 Principal-level engineer building cloud-native data platforms, AI-native products, and open knowledge systems across science, music, and enterprise ecosystems
⛈️ Architecting and operating cloud infrastructure, DevSecOps, and data pipelines for the NASA Space Weather Science Operations Center at Goddard Space Flight Center [Contracting via Navteca]
🌑 Previously working with NASA JSC Flight Operations Directorate on the Luna dev team, delivering scalable frontend systems and platform improvements [Contracting via Navteca]
🧭 Advising Voice Atlas across communications, product direction, and strategic marketing [Contracting via Navteca]
💼 Former NASA/JPL Enterprise Applications Software Engineer at the Jet Propulsion Laboratory in Pasadena, CA for over 8 years
🌟 Featured Projects: NASA Science + Jet Propulsion Laboratory / NASA
- Full-stack engineer operating at the intersection of cloud architecture, product, and systems design 🏎️
- Designing and shipping large-scale, high-visibility platforms and mission data pipelines for public and enterprise audiences 🌐
- Building with modern decoupled, headless, event-driven, and API-first architecture patterns 💀
- Driving platform quality through security posture, observability, performance, accessibility, and developer experience 🔒
- Translating ambiguity into execution across infrastructure strategy, application architecture, frontend systems, and backend coordination ⚡
- Comfortable across AWS and AWS GovCloud, serverless and container workloads, IAM and secrets hygiene, design systems, and emerging AI tooling 🤖
- Known for modernizing legacy systems, hardening cloud environments, and bringing order to messy ecosystems 🛠️
- Effective technical partner to mission scientists, founders, stakeholders, designers, engineering teams, and external data partners 🤝
- Fearlessly getting scars from the bleeding edge while keeping systems practical, elegant, and shippable 🩸
- Cloud data pipelines ingesting, syncing, and delivering mission and partner science data across AWS and GovCloud accounts 🛰️
- Serverless and scheduled workloads (Lambda, EventBridge, S3, SQS, DynamoDB) with durable delivery tracking and idempotent sync patterns 🔁
- Security Hub–driven remediation and hardening across EC2, RDS, S3, ECS, ECR, and IAM at organizational scale 🛡️
- Bespoke hosting tools, observability surfaces (Grafana, ALB/ACM/Route 53), and DevOps dashboards 🚨
- Hybrid cloud-to-on-prem sync tooling bridging restricted ground systems and cloud storage 🌉
- Managed databases (RDS PostgreSQL) with least-privilege access and Secrets Manager credential patterns, including MCP-ready read-only interfaces 🗄️
- Enterprise-ready content management systems and publishing ecosystems 🧠
- Performance-driven and secure web experiences at organizational scale 🔒
- Accessible design systems across multiple frameworks and product families 🦮
- APIs and data interfaces for science, astronomy, and operational workflows 📡
- Metadata-rich knowledge platforms, discovery systems, and contribution models 🎼
- Multi-tenant products, component libraries, and extensible frontend foundations 🧱
- Technical brand and product surfaces that pair engineering depth with strong visual execution ✨
AWS, AWS GovCloud, GCP, Lambda, EventBridge, S3, SQS, DynamoDB, RDS/PostgreSQL, ECS, ECR, IAM, Secrets Manager, Security Hub, Docker, Docker Compose, Grafana, Terraform/IaC, systemd, CI/CD, DevSecOps, TypeScript, Python, React, Angular, Vue, Nuxt, Next.js, GraphQL, Django, Wagtail, Astro, Svelte, Vite, TailwindCSS, HeadlessUI, Jest, Swift, Apollo, monorepos, design systems, platform architecture, API design, MCP, and AI-assisted workflows 🤖
- Cloud architecture and DevSecOps for science operations — secure, resilient, cost-aware AWS environments
- Event-driven data pipelines and cross-account, cross-region data delivery for mission and partner datasets
- Infrastructure hygiene, security remediation, and least-privilege access patterns as a discipline
- Observability and operational tooling that gives teams real visibility into their systems
- AI-native application development, MCP-oriented interoperability, and agent-driven workflows
- Open knowledge systems, structured data models, and metadata normalization
- Modern frontend architecture with strong UX, design, and component discipline
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Cloud architecture and infrastructure depth paired with deep frontend engineering strength
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A rare ability to move fluidly between infrastructure hardening, pipeline design, implementation, design refinement, and platform strategy
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Experience shipping and operating for NASA-scale organizations while also helping shape emerging products from the ground floor
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Equal care for security, reliability, polish, performance, clarity, and long-term maintainability
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Best in environments where product vision, technical ambiguity, and execution pressure all overlap
