Cinthia Elizabeth Villalejos Zamora

Project: Enterprise Cloud Business Intelligence (BI) Platform (Client: Top-Tier Silicon Valley Technology Company)

• Visualization Architect: Architecting complex, custom visualization types from scratch (e.g., trellis charts, collapsible force-directed graphs) to extend the platform’s native capabilities beyond standard libraries.
• Performance Optimization: Engineering high-performance rendering solutions using Canvas API and virtualized DOM techniques to visualize large-scale datasets with zero UI lag.
• Lead Open Source Maintainer: Sole maintainer of the organization’s internal open-source visualization library. Responsible for roadmap governance, reviewing PRs from global teams, and ensuring backward compatibility for the entire ecosystem.
• Library Modernization: Revitalized the core visualization engine by updating dependencies and refactoring legacy rendering logic, resulting in a significant reduction in render times for end-users.
• Developer Experience (DX): Standardized the visualization development workflow by implementing Dependabot and automated CI/CD pipelines, streamlining the contribution process for hundreds of internal developers.

Project: Global Consumer Email & Communication Platform (Client: Top-Tier Silicon Valley Technology Company)

• Scale & Reliability: Contributed to a flagship product with 1 billion+ active users, ensuring code reliability through rigorous testing standards.
• Testing Strategy: Implemented comprehensive unit testing strategies that resulted in a 30% reduction in post-release bugs within 6 months.
• Code Quality: Drove the adoption of clean code best practices and refactoring initiatives, leading to a measurable 20% improvement in code maintainability.
• Refactoring: Upgraded the legacy test framework, refactoring thousands of lines of code to improve execution speed in a complex CI/CD environment.

Project: ScholaMatch Marketplace & Enrollment SaaS

• Series A Growth: Key frontend contributor during the company's Series A expansion, building scalable features to support a 3x increase in user traffic.
• Performance Optimization: Refactored the core "School Match" engine, reducing technical debt and improving Page Load Speed by 15%, directly impacting conversion rates for mobile users.
• Design System Architecture: Architected a reusable React & SASS component library to standardize UI patterns, accelerating the release of white-labeled dashboards for partner schools.
• Quality Assurance: Established rigorous React Testing Library protocols for critical enrollment flows, preventing regressions during high-season admission periods.

Project: High-Traffic Sports Analytics & Betting Intelligence Platform

• Interactive Data Visualization: Developed dynamic statistical widgets and real-time odds-comparison charts using React and D3.js, driving a 20% increase in user time-on-page.
• Performance Architecture: Engineered aggressive code-splitting and lazy loading strategies for a media-heavy application, reducing initial JavaScript bundle size by 40% to ensure sub-second load times.
• Real-Time State Management: Architected a robust Redux store to handle high-frequency data updates (live match stats and changing odds), ensuring UI consistency without performance degradation.
• UI/UX Implementation: Translated complex, high-fidelity designs into pixel-perfect, mobile-first Material UI components, optimizing the betting experience for mobile web users.