
Ellyse Lee developed and enhanced backend systems for the ScottyLabs/cmumaps repository, focusing on scalable data processing, serialization, and secure API integration. Over five months, Ellyse migrated floor plan storage to AWS S3, unified authentication across HTTP and Socket.IO, and consolidated building data serialization to improve data integrity and maintainability. Using Python, TypeScript, and Node.js, Ellyse refactored data export pipelines, introduced coordinate transformation for geo data, and centralized API client logic to streamline authentication and reduce duplication. The work improved data accessibility, security, and developer onboarding, demonstrating depth in backend development, cloud storage integration, and robust API design.

September 2025 performance summary for ScottyLabs/cmumaps: Delivered scalable data storage via AWS S3, unified authentication across HTTP and Socket.IO, and improved developer onboarding through updated docs. These efforts improved data management, security posture, and time-to-value for new contributors.
September 2025 performance summary for ScottyLabs/cmumaps: Delivered scalable data storage via AWS S3, unified authentication across HTTP and Socket.IO, and improved developer onboarding through updated docs. These efforts improved data management, security posture, and time-to-value for new contributors.
Month: 2025-08 — ScottyLabs/cmumaps monthly recap focusing on business value and technical achievements.
Month: 2025-08 — ScottyLabs/cmumaps monthly recap focusing on business value and technical achievements.
July 2025 performance summary for ScottyLabs/cmumaps. Focused on floorplan data serialization enhancements and expanding the API surface for graph-level access. Delivered an all-graph export script and a new API endpoint to retrieve all nodes; improved CLI with argparse, reduced duplication in data fetching, and added coordinate transformation for geo coordinates. Performed maintenance updates (submodule update and dependency bumps) and cleaned up the codebase by removing redundant endpoints and refactoring the serializer. These efforts increased data accessibility, accuracy, and maintainability, enabling downstream apps to render complete floorplans with reduced integration risk.
July 2025 performance summary for ScottyLabs/cmumaps. Focused on floorplan data serialization enhancements and expanding the API surface for graph-level access. Delivered an all-graph export script and a new API endpoint to retrieve all nodes; improved CLI with argparse, reduced duplication in data fetching, and added coordinate transformation for geo coordinates. Performed maintenance updates (submodule update and dependency bumps) and cleaned up the codebase by removing redundant endpoints and refactoring the serializer. These efforts increased data accessibility, accuracy, and maintainability, enabling downstream apps to render complete floorplans with reduced integration risk.
June 2025: ScottyLabs/cmumaps delivered key data serialization enhancements and floorplan endpoints, significantly improving data export fidelity and integration readiness. Work focused on expanding the serialization framework, enriching the Building model with osmId, and exposing robust floorplan endpoints, while addressing a TypeScript syntax issue to improve build reliability. These changes enable selective, per-floorplan serialization and more complete exports (buildings, floors, rooms) to downstream analytics and clients.
June 2025: ScottyLabs/cmumaps delivered key data serialization enhancements and floorplan endpoints, significantly improving data export fidelity and integration readiness. Work focused on expanding the serialization framework, enriching the Building model with osmId, and exposing robust floorplan endpoints, while addressing a TypeScript syntax issue to improve build reliability. These changes enable selective, per-floorplan serialization and more complete exports (buildings, floors, rooms) to downstream analytics and clients.
Month: 2025-04 — Delivered critical data processing improvements for ScottyLabs/cmumaps, focusing on Spring Carnival event data. Key changes include fixing the data source path for carnival_events.json to cmumaps-data/spring-carnival/, and introducing a tagging mapping function to categorize events by tracks, removing direct tag mapping from the event model to improve categorization reliability and business insights. These changes reduce data sourcing errors, enhance event-driven analytics, and lay groundwork for scalable event tagging. Result: higher data quality for carnival events, faster refresh cycles, and clearer business insights for stakeholders.
Month: 2025-04 — Delivered critical data processing improvements for ScottyLabs/cmumaps, focusing on Spring Carnival event data. Key changes include fixing the data source path for carnival_events.json to cmumaps-data/spring-carnival/, and introducing a tagging mapping function to categorize events by tracks, removing direct tag mapping from the event model to improve categorization reliability and business insights. These changes reduce data sourcing errors, enhance event-driven analytics, and lay groundwork for scalable event tagging. Result: higher data quality for carnival events, faster refresh cycles, and clearer business insights for stakeholders.
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