EthanVernon

Developed and maintained REST-first backend services for internal tools, operational workflows, real estate data systems, and production business applications.

• Developed, maintained, and migrated cloud-based services to AWS-based microservice architecture, supporting users, shops, listings, transaction data, awards, profiles, and teams.
• Implemented CRUD APIs to support production data requirements, reporting and compliance requirements, new features, and operational workflows.
• Supported critical real estate listing ingestion and syndication, real estate awards, and real estate transaction data supporting a 6,000+ advisor real estate company.

Technologies:Node.js·TypeScript·REST APIs·AWS Lambda·PostgreSQL·MongoDB·GraphQL

Used AI-assisted engineering workflows to accelerate planning, implementation, debugging, code review, product development, and change tracking.

• Developed agentic workflows that contributed to a 400% increase in developer team sprint velocity.
• Built automated workflows for Jira ticket retrieval, codebase research, planning and implementation, code review, GitHub automation, and QA checklists.
• Created a voice-to-Jira workflow that generated structured tickets from spoken requests, including repo context, affected files, reproduction steps, acceptance criteria, and implementation notes.

Technologies:Codex·Claude Code·OpenAI APIs·Jira·GitHub·Voice-to-Text·Agent Workflows·CI/CD

Built and maintained React and Next.js applications for admin tools, advisor-facing workflows, reporting dashboards, public real estate search, and internal business operations.

• Supported 30+ front-end applications, including React apps and newer Next.js applications used across real estate reporting, public real estate search, advisor tools, and admin workflows.
• Delivered data-heavy interfaces with filters, forms, tables, charts, pagination, role-based access, validation, real-time updates, and searchable real estate data.
• Implemented responsive UI work from design-team direction while improving reusable components, visual polish, and operational usability.

Technologies:React·Next.js·TypeScript·Tailwind CSS·GraphQL·Strapi·Enterprise CMS

Designed, queried, and maintained production data models across PostgreSQL, MongoDB, and SQL Server for real estate transactions, listings, shops, advisors, awards, and reporting workflows.

• Wrote SQL, aggregation queries, and optimized data access patterns for reports, dashboards, production features, data syncing, and recurring business workflows.
• Built data processing and ingestion pipelines for third-party listing data, MLS updates, reporting workflows, validation routines, and production data movement.
• Maintained recurring reporting workflows that categorized tens of thousands of weekly real estate transactions across thousands of advisors and shops.

Technologies:PostgreSQL·MongoDB·SQL Server·Data Processing·Data Validation·Data Aggregation

Built and maintained serverless architecture across AWS Lambda, S3, SQS, API Gateway, DynamoDB, SES, CloudWatch, and related AWS services.

• Architected and built purpose-specific cloud services migrated from legacy monorepo systems into maintainable serverless services that other developers could extend.
• Created new Lambda and SQS workflows, maintained existing serverless systems, and retired legacy jobs as services moved into cloud infrastructure.
• Built scheduled nightly and weekly jobs for reporting, dashboard updates, listing ingestion, MLS synchronization, and data-heavy operational workflows.

Technologies:AWS Lambda·S3·SQS·API Gateway·DynamoDB·SES·CloudWatch·Serverless Workflows

Designed and built cybersecurity software for scanning, vulnerability management, reporting workflows, and client-facing security operations.

• Designed and deployed product architecture across Vue.js frontends, .NET Core APIs, Azure authentication, deployment workflows, and core user experience for the cybersecurity reporting platform.
• Architected and implemented CyberLAB, a custom LMS/CMS platform used to move cybersecurity training from in-person delivery to remote delivery during the COVID-era transition.
• Supported product workflows for students, instructors, internal employees, penetration testers, developers, and clients across training, reporting, and vulnerability review systems.

Technologies:Vue.js·.NET Core·REST APIs·Azure·Azure Active Directory·MS SQL

Built Vue.js interfaces for cybersecurity training, quiz delivery, reporting workflows, client portals, and internal security operations tools.

• Developed 82 reusable Vue.js components for a custom learning platform supporting lessons, quizzes, activities, tests, and cybersecurity training workflows.
• Built single-page application flows for students, instructors, internal employees, penetration testers, and clients with distinct access patterns and user experiences.
• Designed and implemented client-facing vulnerability-management screens for reviewing findings, tracking remediation status, messaging testers, and accessing reports.

Technologies:Vue.js·JavaScript·SPA Architecture·Component Systems·UI Architecture·Client Portal UX

Built backend services and API layers for cybersecurity training, client vulnerability management, authentication, reporting, and data ingestion workflows.

• Architected and implemented 46 .NET Core API endpoints connected to Vue.js frontends, MS SQL data models, Azure authentication, and cloud-hosted application workflows.
• Implemented authentication and authorization flows using Azure Active Directory and Microsoft identity tooling for internal and client-facing user roles.
• Built backend workflows supporting LMS content delivery, quiz logic, reporting data, vulnerability records, client access, and secure separation between internal and client portals.

Technologies:.NET Core·REST APIs·MS SQL·Azure Active Directory·Azure·PowerApps

Built data parsing, vulnerability-ingestion, and reporting automation workflows that converted large security scan outputs into consultant-reviewed findings and client-ready reports.

• Built Python parser logic for large Nessus and Nmap XML scan outputs, processing thousands to hundreds of thousands of vulnerabilities depending on client scope and scan size.
• Reduced SQL and Python parser query volume by 99% and processing time by 90%, replacing a broken workflow where consultants manually reviewed scan results.
• Standardized reporting through a Vue.js and Python tool with templated sections, reusable content, drag-and-drop vulnerability insertion, and HTML/PDF report output.

Technologies:Python·SQL·XML Parsing·MS SQL·Nessus·Nmap·Vue.js·Markdown·HTML·PDF Generation·Report Automation

Led product discovery, UX design, stakeholder communication, and implementation for Darwin Attack Platform, a patented client vulnerability-management platform.

• Conducted product interviews, user interviews, user research, UX evaluations, UI design, feature planning, and user story creation for the client vulnerability-management platform.
• Designed a version 2.0 platform that separated internal employee workflows from client-facing access while improving usability, reporting flow, client visibility, and secure messaging.
• Presented the approved product direction to stakeholders and led implementation across frontend, backend, authentication, reporting, and client delivery workflows.

Technologies:Vue.js·.NET Core·Azure·MS SQL·Product Discovery·UX Design·User Stories