SCOTT MILEWSKI

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Engineered and maintained the primary dealer-facing web platform serving ~40,000 automotive dealerships nationwide, using React, TypeScript, Next.js, and MobX across mobile, tablet, and desktop — sustaining 99.9%+ uptime across all form factors

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Led a company-wide WCAG 2.2 accessibility initiative, auditing and remediating 100+ front-end components and integrating Jest-Axe into CI pipelines — achieving full compliance and eliminating accessibility-related support escalations.

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Modernized the testing strategy by migrating from Enzyme to React Testing Library and introducing Playwright for E2E coverage — reducing post-release UI defect rate by an estimated 30% and cutting regression testing time by ~50%.

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Introduced Contentful headless CMS, enabling non-technical teams to publish content without engineering involvement — cutting content-related deployments by ~40% and reducing time-to-publish from days to hours.

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Built interactive data visualization dashboards using D3.js, ApexCharts, and Chart.js to surface dealership performance trends and ROI — replacing static monthly reports and enabling self-serve analysis for dealer account managers.

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Instrumented front-end performance monitoring via Adobe Analytics, Google Analytics, and New Relic, identifying and resolving key bottlenecks — improving average page load time by ~25% across high-traffic dealer workflows.

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Architected REST and GraphQL API integrations with backend and cloud teams, defining clean client-server contracts — reducing data over-fetching by ~35% and improving perceived load performance on data-heavy views.

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Volunteered as front-end Security Officer, assessing and remediating XSS, CSRF, and dependency vulnerabilities per OWASP standards — resolving all critical findings within sprint cycles with zero security incidents during tenure.

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Served as technical lead for the dealer-facing front-end team, driving sprint planning, architectural decision-making, and cross-functional coordination with product, design, backend, and QA — ensuring consistent on-time delivery across concurrent feature tracks with no degradation in code quality.

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Built and ran a structured mentorship program for 4 junior front-end engineers — including onboarding plans, weekly 1:1s, code review cadences, and progressive project ownership assignments — all 4 advanced to independent feature ownership within 12 months, materially reducing senior engineer bottlenecks and increasing team throughput.

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Established and enforced front-end coding standards, component architecture guidelines, and pull request review practices adopted across the engineering organization — reducing onboarding ramp time for new hires and cutting code review cycle time by an estimated 30%.

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Partnered with UX/design to translate Figma specs into production-ready components, establishing design-to-engineering handoff conventions — reducing revision cycles by an estimated 2 rounds per feature.

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Received FY2023 Fox Star Award recognizing exceptional contributions and a consistent pattern of going above and beyond team expectations.

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Led small agile project teams across 4 full-cycle internal application builds — coordinating work across junior developers, QA, architects, and business stakeholders from requirements through production release — delivering all projects on schedule and establishing a reputation for dependable cross-functional leadership.

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Took on informal technical lead responsibilities within the Data Services team — reviewing junior developer code, guiding architectural decisions, and serving as a go-to resource for front-end questions — accelerating the growth of less experienced teammates and raising overall team code quality.

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Engineered responsive, component-based UIs using JavaScript, HTML5, and CSS3, applying progressive enhancement and cross-browser compatibility standards — reducing reported UI defects by an estimated 40% compared to prior tooling and setting a quality bar the team adopted going forward.

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Designed and implemented RESTful JSON APIs connecting front-end applications to backend data pipelines and third-party platforms including Salesforce — enabling real-time data access for sales and operations teams that previously relied on static exports and manual reporting.

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Replaced manual, spreadsheet-driven analyst workflows with interactive web applications featuring dynamic data entry, real-time validation, and instant visual feedback — cutting task completion time by an estimated 60% and eliminating a significant source of manual entry errors.

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Applied relational and document database patterns (MySQL, MongoDB) to architect data models supporting complex querying and high-volume ingestion pipelines — improving Vehicle History Database processing reliability and reducing failed ingestion events.