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DR
▸ /work · timeline

Fifteen years of turning messy systems into reliable ones.

The arc runs from IT support and systems administration, through mission-critical defense operations and DevSecOps leadership, into AI platform work and agentic systems. The through-line is the same: make complex systems more usable, more automated, and more resilient.

▸ through-line
what changes across the timeline
15+ years
across AI, platform, DevSecOps, and operations
$1.2M+
annual savings from automation and modernization
150+
engineers and stakeholders influenced on major programs
Prototype → production
the thread that connects the whole arc

Early on, the work was hands-on systems support and automation. At Lockheed Martin it became platform modernization, operational resilience, and technical leadership at program scale. Today that same instinct is applied to AI: not just proving models work, but building the surrounding platform, process, and governance so teams can depend on them.

career arc
The path is consistent even when the domains change: support the system, automate the pain, turn the automation into platform, then turn the platform into organizational leverage.
2009
IT support
2013
AI / CV research support
2019
Defense ops → DevSecOps
2025
Founder / AI platform
2026
AI platform leadership
operating domains
Platform
reproducibility, runtime, infra, deployment paths
AI systems
agents, LLM pipelines, retrieval, eval-minded workflows
Operations
security posture, resilience, approvals, long-term ownership
Leadership
translate between engineering, product, cyber, and executives

  1. ATA LLC

    Nov 2025 — Present

    Designing, building, and deploying production AI/LLM systems and automation pipelines for enterprise-scale workflows.

    agentic operating model impact
    📝
    Nat. Language
    Specs
    →
    🤖
    Production
    Agents
    →
    ⚡
    +30%
    Productivity
    AI & Platform Engineering Lead
    Nov 2025 — Present

    Designed, built, and deployed production AI/LLM systems and automation pipelines for enterprise-scale workflows.

    • ◆ Led transition to a prose-first agentic AI operating model, deploying production AI agents across engineering, QA, and product workflows — improving productivity by 30% and eliminating up to 100% of select manual processes.
    • ◆ Architected production-grade agentic AI systems and document intelligence platforms using LLM pipelines, retrieval workflows, and structured extraction, generating $250K+ in annual efficiency gains.
    • ◆ Established architectural standards for reproducible AI environments and secure containerized microservices.
    • ◆ Designed and trained supervised ML models for intelligent form classification, increasing automated field-mapping accuracy by 40%.
    • ◆ Conducted executive-level build-vs-buy analysis (custom ML vs. AWS Comprehend) to guide long-term AI investment strategy.
    • ◆ Designed and implemented AI-driven QA automation framework, increasing test coverage to 80% and reducing regression defects by 50%.
    • ◆ Partnered with cross-functional leadership to align AI platform development with business outcomes, risk posture, and delivery timelines.

  2. Autogration

    Mar 2025 — Nov 2025

    Founded an AI-driven automation consultancy focused on modernizing business workflows and deploying scalable AI systems.

    workflow automation impact
    🏢
    Client Workflows
    Consultancy & SaaS
    Up to 60% Gains
    Operational Efficiency
    📈
    Founder & AI Platform Lead
    Mar 2025 — Nov 2025

    Founded and led an AI-driven automation consultancy focused on modernizing business workflows and deploying scalable AI systems.

    • ◆ Designed and launched AI-powered SaaS platforms, including LLM-based career automation systems with subscription monetization and browser-automation integration.
    • ◆ Architected secure cloud-native systems and AI integration pipelines.
    • ◆ Delivered up to 60% operational efficiency improvements across client organizations.
    • ◆ Directed product roadmap, integration strategy, and monetization architecture.
    • ◆ Worked directly with clients to translate business problems into deployable AI agent solutions.
    • ◆ Explored integration of conversational and multimodal AI systems for customer interaction workflows.

  3. Lockheed Martin

    May 2019 — Mar 2025

    Led secure DevSecOps and integration engineering across active, mission-critical missile-defense systems.

    devsecops impact metrics
    -90%
    Deploy Time
    -50%
    K8s Downtime
    $100k+
    Qtrly Savings
    $1.2M
    Annual Saved
    deployment evolution
    Manual Effort
    Ansible
    Automated Enterprise Pipeline
    Integration Engineer (Senior DevSecOps)
    Feb 2023 — Mar 2025

    Led secure DevSecOps operations for active military systems in regulated, mission-critical environments.

    • ◆ Reduced troubleshooting time by hundreds of hours per quarter, generating $100K+ quarterly savings.
    • ◆ Automated image approval and deployment pipelines, reducing deployment timelines by 90% while strengthening security posture.
    • ◆ Led resilience improvements in Kubernetes environments, decreasing downtime by 50%.
    • ◆ Implemented automated testing frameworks incorporating computer vision and OCR technologies.
    Integration Lead (Team Lead & Product Owner)
    Oct 2021 — Feb 2023

    Served as technical lead and product owner on a $500M defense program, managing a team of seven and influencing 150+ engineers.

    • ◆ Architected enterprise automation platform eliminating two weeks of manual effort per cycle, generating $1.2M annual savings.
    • ◆ Defined DevSecOps modernization roadmap aligned with compliance and mission-readiness objectives.
    • ◆ Drove cross-team coordination improving delivery velocity and reducing operational risk.
    Earlier roles — DevSecOps & Operations
    May 2019 — Oct 2021

    Progressed through operational and DevSecOps roles supporting mission-critical missile defense systems.

  4. Vision and Security Technology Lab

    Feb 2013 — Oct 2015

    Supported early-stage AI and computer-vision initiatives in a university research environment.

    research infrastructure automation
    📷
    CV Calibration
    Facial recognition tuning
    ⚡
    300% Faster
    PXE-boot imaging
    System Administrator
    Feb 2013 — Oct 2015

    Supported early-stage AI and computer-vision initiatives in research environments.

    • ◆ Contributed to machine-learning data calibration for facial recognition systems.
    • ◆ Automated video data collection pipelines to accelerate model training workflows.

  5. Colorado Springs Early Colleges

    Jan 2009 — Sep 2012

    Provided IT support, device imaging, and server administration in an education environment supporting students and faculty at scale.

    fleet deployment scale
    💿
    Base OS Image
    Baseline Standard
    →
    💻
    750+ Nodes
    Cloned Workstations
    IT Technician
    Jan 2009 — Sep 2012

    Managed desktop, laptop, and server support while improving imaging and deployment consistency across a large device fleet.

    • ◆ Created baseline operating-system images and cloned more than 750 student-issued computers, significantly reducing setup time and improving consistency.
    • ◆ Provided help-desk support to more than 500 students and faculty members across hardware, software, and network issues.
    • ◆ Supported server deployment and management tasks to keep organizational IT infrastructure operational and aligned with project needs.
▸ education
Bachelor of Innovation in Business Information Systems with Engineering Cross-Core
University of Colorado Colorado Springs
AACSB Accredited · 2016
▸ certifications
  • cert Security+ CE