embedded-purdue/slayterHIL
Sep 2025 – Apr 2026
4 Months active
Languages Used
MarkdownPythonJSONCSSHTMLJavaScript
Technical Skills
DocumentationJSON handlingdata generationtestingPythondata modeling
CheeseAziz
PROFILE
Cheeseaziz
Contributed to the embedded-purdue/slayterHIL repository by developing interactive dashboards and automated test data generators to streamline flight path validation in hardware-in-the-loop environments. Leveraged Python and JavaScript frameworks to create 3D visualizations and custom test input features, enabling real-time inspection of hover, circular, step, and trapezoidal flight scenarios. Enhanced the testing framework with structured JSON data modeling and automated scripts, supporting regression coverage and reducing manual validation effort. Improved onboarding through Markdown-based documentation and maintained project health by removing obsolete tests. This work accelerated development cycles, improved test reliability, and provided clear visibility into flight dynamics simulation and dashboard results.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
4
Lines of code
3,644
Activity Months4
Your Network
30 peopleWork History
April 2026
3 Commits • 1 Features
Apr 1, 2026April 2026 - embedded-purdue/slayterHIL: Delivered an interactive dashboard enhancement for test visualization and custom test input, enabling real-time, multi-type test inspection. Implemented new tabs for Hover, Circular, Step, and Trapezoidal tests with 3D visualizers and command outputs; added a dedicated div for custom test input and updated the HTML script version. Fixed tab rendering issues to stabilize the visualization flow and integrated hover test data for richer dashboard interactions. Overall, these improvements streamline test setup and debugging, enabling faster development cycles and clearer visibility into test performance across hardware-in-the-loop simulations.
3 Commits • 1 Features
Apr 1, 2026April 2026 - embedded-purdue/slayterHIL: Delivered an interactive dashboard enhancement for test visualization and custom test input, enabling real-time, multi-type test inspection. Implemented new tabs for Hover, Circular, Step, and Trapezoidal tests with 3D visualizers and command outputs; added a dedicated div for custom test input and updated the HTML script version. Fixed tab rendering issues to stabilize the visualization flow and integrated hover test data for richer dashboard interactions. Overall, these improvements streamline test setup and debugging, enabling faster development cycles and clearer visibility into test performance across hardware-in-the-loop simulations.
April 2026
February 2026
4 Commits • 1 Features
Feb 1, 2026Month: 2026-02 Overview: Delivered a data-driven validation capability for flight path algorithms in the embedded-purdue/slayterHIL repository, with a focus on automated test data generation and alignment with the new testing strategy. Also performed cleanup to eliminate outdated tests, ensuring maintainability and faster regression cycles. Key achievements: - Flight Path Testing Data Suite delivered: Added comprehensive JSON test data and generator scripts to validate flight path algorithms for circular paths around the z-axis and hover phase data. Commits: f8db9b16201d3d231a5a718a8cc9b8ac7f34c610 (Add circular flightpath JSON test around z-axis), 16ab68a86d7a18dcfcfd5d85316a88277333358c (Add hover test :)), 83b4b66f6f6727ea5d5f153a5285bdbf6a8adc8b (Add Hover test json). - Maintenance: Removed outdated hover test scripts and results to align with the new testing strategy. Commit: 3b446bf1924ae388ea932f310b7e5854df92966e (Remove old tests/script). - Strengthened test automation: Data-driven approach reduces manual effort and accelerates validation of path planning under circular and hover scenarios. - Repo focus: embedded-purdue/slayterHIL, driving more robust flight path validation in HIL environments. Major bugs fixed: - Cleanup of legacy hover test scripts and results that interfered with the new validation workflow, eliminating confusion and potential false positives during regression testing. Impact and accomplishments: - Improved testing coverage for flight path algorithms with repeatable, JSON-based test data, enabling faster iteration and more reliable algorithm validation. - Reduced maintenance burden by removing obsolete tests, aligning suite with current validation strategy, and improving test stability during releases. - Demonstrated strong cross-functional impact by enabling product-quality validation for flight control software and reducing risk in deployment scenarios. Technologies/skills demonstrated: - Data generation and test automation (JSON, generator scripts) - Test strategy alignment and maintenance discipline - Embedded systems testing, flight path validation, HIL environments - Commit discipline and traceability with precise messages and references
February 2026
4 Commits • 1 Features
Feb 1, 2026Month: 2026-02 Overview: Delivered a data-driven validation capability for flight path algorithms in the embedded-purdue/slayterHIL repository, with a focus on automated test data generation and alignment with the new testing strategy. Also performed cleanup to eliminate outdated tests, ensuring maintainability and faster regression cycles. Key achievements: - Flight Path Testing Data Suite delivered: Added comprehensive JSON test data and generator scripts to validate flight path algorithms for circular paths around the z-axis and hover phase data. Commits: f8db9b16201d3d231a5a718a8cc9b8ac7f34c610 (Add circular flightpath JSON test around z-axis), 16ab68a86d7a18dcfcfd5d85316a88277333358c (Add hover test :)), 83b4b66f6f6727ea5d5f153a5285bdbf6a8adc8b (Add Hover test json). - Maintenance: Removed outdated hover test scripts and results to align with the new testing strategy. Commit: 3b446bf1924ae388ea932f310b7e5854df92966e (Remove old tests/script). - Strengthened test automation: Data-driven approach reduces manual effort and accelerates validation of path planning under circular and hover scenarios. - Repo focus: embedded-purdue/slayterHIL, driving more robust flight path validation in HIL environments. Major bugs fixed: - Cleanup of legacy hover test scripts and results that interfered with the new validation workflow, eliminating confusion and potential false positives during regression testing. Impact and accomplishments: - Improved testing coverage for flight path algorithms with repeatable, JSON-based test data, enabling faster iteration and more reliable algorithm validation. - Reduced maintenance burden by removing obsolete tests, aligning suite with current validation strategy, and improving test stability during releases. - Demonstrated strong cross-functional impact by enabling product-quality validation for flight control software and reducing risk in deployment scenarios. Technologies/skills demonstrated: - Data generation and test automation (JSON, generator scripts) - Test strategy alignment and maintenance discipline - Embedded systems testing, flight path validation, HIL environments - Commit discipline and traceability with precise messages and references
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a new Flight Path JSON Test Data Generator to enhance the testing framework for embedded flight path generation. The feature creates step and trapezoidal trajectories in JSON with MAVLink-like fields, enabling realistic path scenarios and improved validation of path generation logic. The implementation includes structured test data representing varying velocities and positions over time to support regression testing and scenario coverage. No major bugs were fixed this month. Overall impact includes increased test coverage, faster validation cycles for flight path generation, and clearer data-driven testing capabilities. Technologies/skills demonstrated include test data scripting, JSON data modeling, and MAVLink-like field simulation within the testing framework.
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a new Flight Path JSON Test Data Generator to enhance the testing framework for embedded flight path generation. The feature creates step and trapezoidal trajectories in JSON with MAVLink-like fields, enabling realistic path scenarios and improved validation of path generation logic. The implementation includes structured test data representing varying velocities and positions over time to support regression testing and scenario coverage. No major bugs were fixed this month. Overall impact includes increased test coverage, faster validation cycles for flight path generation, and clearer data-driven testing capabilities. Technologies/skills demonstrated include test data scripting, JSON data modeling, and MAVLink-like field simulation within the testing framework.
January 2026
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for embedded-purdue/slayterHIL: Focused on onboarding and knowledge sharing. Added Aziz Sahib Nazarov team introduction document under docs/team/ to improve visibility and onboarding information. This supports faster ramp-up for new contributors and better collaboration. No major bugs fixed this month in this repository.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for embedded-purdue/slayterHIL: Focused on onboarding and knowledge sharing. Added Aziz Sahib Nazarov team introduction document under docs/team/ to improve visibility and onboarding information. This supports faster ramp-up for new contributors and better collaboration. No major bugs fixed this month in this repository.
Activity
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Quality Metrics
Correctness97.8%
Maintainability95.6%
Architecture95.6%
Performance95.6%
AI Usage22.2%
Skills & Technologies
Programming Languages
CSSHTMLJSONJavaScriptMarkdownPython
Technical Skills
3D visualizationDocumentationHTMLJSON handlingJavaScript frameworksPythondashboard developmentdata analysisdata generationdata modelingflight dynamics simulationfront end developmentsoftware developmenttesting
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