YCP-Rev-Metrix/BallSpinner-Application
Nov 2024 – Apr 2025
6 Months active
Languages Used
C#CSVJSONXAMLXMLJavaScript
Technical Skills
API IntegrationAPI TestingBack-end DevelopmentBackend DevelopmentCSV ParsingData Parsing
Ryan
PROFILE
Ryan
Ryan Curry developed and enhanced the YCP-Rev-Metrix/BallSpinner-Application over six months, delivering 19 features and resolving critical bugs to improve simulation fidelity and data reliability. He implemented backend and frontend workflows for ingesting, parsing, and persisting sensor and shot data, using C#, .NET, and XAML. His work included memory-mapped file storage, robust API integration, and multi-sensor data handling, enabling real-time TCP/IP communication and cloud-backed analytics. By refactoring data models, synchronizing dependencies, and introducing concurrency controls, Ryan ensured stable multi-simulation workloads and maintainable code. His engineering demonstrated depth in database management, embedded systems, and UI/UX design for robotics simulation.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
48Total
Bugs
5
Commits
48
Features
19
Lines of code
4,645
Activity Months6
Your Network
17 people
Work History
April 2025
20 Commits • 6 Features
Apr 1, 2025April 2025 — BallSpinner-Application delivered significant persistence, parsing, motor-control, and UI improvements that enhance reliability, simulation fidelity, and business value. Key work includes memory-mapped storage with tests and interface refactor; multi-sensor data parsing with invariant-culture doubles and updated TCP; RPM-driven ball rotation with Three.js rendering; secondary motor axis with synchronized RPM and timing adjustments; and lifecycle/UI hardening with single-instance enforcement, termination on RPM end, and JSON PascalCase serialization. A robustness-focused bug fix addressed restart edge-cases and safe writer creation to prevent crashes and data loss.
20 Commits • 6 Features
Apr 1, 2025April 2025 — BallSpinner-Application delivered significant persistence, parsing, motor-control, and UI improvements that enhance reliability, simulation fidelity, and business value. Key work includes memory-mapped storage with tests and interface refactor; multi-sensor data parsing with invariant-culture doubles and updated TCP; RPM-driven ball rotation with Three.js rendering; secondary motor axis with synchronized RPM and timing adjustments; and lifecycle/UI hardening with single-instance enforcement, termination on RPM end, and JSON PascalCase serialization. A robustness-focused bug fix addressed restart edge-cases and safe writer creation to prevent crashes and data loss.
April 2025
March 2025
13 Commits • 6 Features
Mar 1, 2025In March 2025, the BallSpinner-Application delivered meaningful business value by stabilizing multi-simulation workloads, enhancing user-facing features, and strengthening API/architecture robustness. The team focused on local data workflows, UI realism, concurrency safeguards, and reliable testing scaffolding to improve end-to-end reliability and developer velocity.
March 2025
13 Commits • 6 Features
Mar 1, 2025In March 2025, the BallSpinner-Application delivered meaningful business value by stabilizing multi-simulation workloads, enhancing user-facing features, and strengthening API/architecture robustness. The team focused on local data workflows, UI realism, concurrency safeguards, and reliable testing scaffolding to improve end-to-end reliability and developer velocity.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 – BallSpinner-Application: Delivered coordinate calculation scaffolding and fixed TCP/data handling to improve reliability and debugability. Established InitialValuesModel and Coordinates structure with Bezier curve scaffolding for future motion modeling, and refined TCP protocol handling and sensor logging to ensure accurate data processing.
2 Commits • 1 Features
Feb 1, 2025February 2025 – BallSpinner-Application: Delivered coordinate calculation scaffolding and fixed TCP/data handling to improve reliability and debugability. Established InitialValuesModel and Coordinates structure with Bezier curve scaffolding for future motion modeling, and refined TCP protocol handling and sensor logging to ensure accurate data processing.
February 2025
January 2025
1 Commits
Jan 1, 2025January 2025: BallSpinner-Application focused on stabilizing data ingestion and dependency consistency. Delivered a critical bug fix for the UploadShot API data mapping and aligned dependent Api package versions across projects to prevent misbehavior from dependency drift. Implemented POCO synchronization for the UploadShot endpoint to ensure consistent request shaping across services.
January 2025
1 Commits
Jan 1, 2025January 2025: BallSpinner-Application focused on stabilizing data ingestion and dependency consistency. Delivered a critical bug fix for the UploadShot API data mapping and aligned dependent Api package versions across projects to prevent misbehavior from dependency drift. Implemented POCO synchronization for the UploadShot endpoint to ensure consistent request shaping across services.
December 2024
4 Commits • 3 Features
Dec 1, 2024December 2024 highlighted delivery of offline-ready shot metadata flow, robust database capabilities, and CSV-based shot replay, driving offline reliability and faster feature delivery. Implemented Local Shot Metadata Save with POCO centralization via NuGet for improved maintainability; added database operations for balls and shots with unit tests to reduce regression risk; extended UI/backend to support loading shots from CSV and replaying previous throws. These changes improved data integrity, developer efficiency, and end-user value by enabling seamless offline uploads, safer data operations, and reproducible shot playback. Technologies/skills demonstrated include C#, .NET, POCOs, NuGet package integration, database CRUD, unit testing, CSV parsing, and UI/backend refactoring.
4 Commits • 3 Features
Dec 1, 2024December 2024 highlighted delivery of offline-ready shot metadata flow, robust database capabilities, and CSV-based shot replay, driving offline reliability and faster feature delivery. Implemented Local Shot Metadata Save with POCO centralization via NuGet for improved maintainability; added database operations for balls and shots with unit tests to reduce regression risk; extended UI/backend to support loading shots from CSV and replaying previous throws. These changes improved data integrity, developer efficiency, and end-user value by enabling seamless offline uploads, safer data operations, and reproducible shot playback. Technologies/skills demonstrated include C#, .NET, POCOs, NuGet package integration, database CRUD, unit testing, CSV parsing, and UI/backend refactoring.
December 2024
November 2024
8 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for YCP-Rev-Metrix/BallSpinner-Application. Delivered key backend enhancements across testing, data ingestion, and cloud data flow. Implemented database and authentication testing improvements, cloud-backed shot data upload/retrieval, and real-time BallSpinner TCP ingestion with SmartDot parsing and sensor data persistence. These work threads included new test structures, updated parsing logic, and cross-machine data accessibility, enabling more reliable releases and better analytics. The work reduces integration risk, accelerates development velocity, and improves data quality for simulations and operational insights.
November 2024
8 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for YCP-Rev-Metrix/BallSpinner-Application. Delivered key backend enhancements across testing, data ingestion, and cloud data flow. Implemented database and authentication testing improvements, cloud-backed shot data upload/retrieval, and real-time BallSpinner TCP ingestion with SmartDot parsing and sensor data persistence. These work threads included new test structures, updated parsing logic, and cross-machine data accessibility, enabling more reliable releases and better analytics. The work reduces integration risk, accelerates development velocity, and improves data quality for simulations and operational insights.
Activity
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Quality Metrics
Correctness82.6%
Maintainability81.6%
Architecture78.0%
Performance71.0%
AI Usage21.2%
Skills & Technologies
Programming Languages
C#CSVJSONJavaScriptXAMLXML
Technical Skills
3D GraphicsAPI DevelopmentAPI IntegrationAPI Integration TestingAPI TestingBack End DevelopmentBack-end DevelopmentBackEnd DevelopmentBackend DevelopmentBug FixingC#CSV ParsingConcurrency ControlData HandlingData Parsing
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