Lyssa – Python, Docker, DevOps

Performed freelance consulting for local clients.

• Developed an A/V automation tool for a successful local theater community by developing a custom show control system leveraging animations-as-code.
• Built a Gemini-integrated automated cybersecurity CRM for small teams of bounty analysts.
• Shipped PanGraphic, a touch-focused GraphViz IDE.

Provided principal cloud cybersecurity engineering to a major space lift and components firm.

• Engineered and deployed a scalable DoD-grade open-source security telemetry stack, successfully replacing proprietary tools to reduce operational overhead.
• Engineered complex ETL pipelines in collaboration with the Business Intelligence team, delivering real-time cybersecurity metrics to executive stakeholders.
• Spearheaded comprehensive security architecture reviews for internal AI/LLM applications, mitigating vulnerabilities and ensuring compliance with advanced AI security frameworks.
• Developed and implemented a globally available, multi-platform smartcard authentication system across Windows, Linux, and custom applications, enhancing zero-trust architecture.
• Designed internal workflows and dashboards in Jira to streamline cybersecurity team management and reporting.
• Assisted leadership by spearheading team technical meetings and lunch-and-learns.
• Developed robust threat awareness and training programs for the security and wider development teams.

Provided critical cloud security and automation expertise for global rollout and maintenance of premier e-sports games.

• Conducted extensive security audits and threat modeling for new regional infrastructure deployments supporting a major globally-scaled PvP FPS e-sports title.
• Engineered automated security tooling for AWS, enforcing IAM least-privilege policies and continuously monitoring cloud infrastructure for misconfigurations.
• Performed rigorous static and dynamic application security testing on internal microservices and CI/CD pipelines to ensure rapid, secure game deployments.
• Performed security reviews of internal application, service code, and infrastructure.
• Developed internal security automation tooling to help secure the AWS platform.

Developed client implementations for a zero-trust access plane product for enterprise environments.

• Functioned as the primary technical subject matter expert during enterprise pre-sales engagements, successfully demonstrating the value of a complex zero-trust access plane product.
• Designed and delivered tailored solutions architectures, bridging the gap between client security requirements and product capabilities.
• Authored custom automated deployment solutions utilizing Infrastructure as Code tooling, accelerating proof-of-concept delivery for prospective enterprise clients.
• Contributed directly to the core product by troubleshooting and resolving complex codebase issues.

Drove down vulnerability counts across a massive AWS cloud account portfolio across dozens of companies prior to M&A disclosures.

• Architected an executive-facing Cloud Security Business Intelligence platform on AWS using Python, Jupyter, and Pandas, enabling data-driven security governance.
• Built interactive, web-based security metrics and visualization dashboards utilizing Cufflinks, Altair, and Papermill to track enterprise-wide risk reduction.
• Acted as the primary Cloud Security subject matter expert, partnering with cross-functional engineering teams to validate and remediate 2,000+ critical cloud vulnerabilities across AWS.

Modernized the platform and operations of an industry leading cannabis seed-to-sale-tracking point-of-sale system, migrating from Azure App Services to Kubernetes and Terraform and incorporating advanced monitoring and alerting systems.

• Orchestrated the deployment and high-availability operations for a heavily regulated, multi-state point of sale system built on Node.js, .NET Core, and Python.
• Directed the incident response lifecycle, establishing comprehensive PagerDuty rotations, defining SLAs, and leading blameless post-mortems to minimize MTTR.
• Architected robust, automated CI/CD pipelines and Infrastructure as Code utilizing Terraform, CloudFormation, and AWS CDK across multi-cloud environments.

Oversaw a team of 10 engineers blended between 3 companies (Google Professional Services, Taos Professional Services, Procter & Gamble) to produce a multi-org data lake and define internal GCP best practices.

• Designed an enterprise-wide Google Cloud provisioning system using Terraform, leading the rollout of a massive corporate data lake.

Implemented automated provisioning and configuration management on vSphere and Azure for a successful bank struggling with long service times.

• Deployed Terraform Enterprise within a CI/CD pipeline to automate VMware Windows/Linux provisioning.
• Authored Chef configurations and PowerShell automation scripts.