neuroinformatics-unit/movement
Jun 2026 – Jun 2026
1 Month active
Languages Used
Python
Technical Skills
data analysisscientific computingsoftware developmentunit testing
Haris shakeel
PROFILE
Haris Shakeel
Developed the Kinematics Deviation Computation feature for the neuroinformatics-unit/movement repository, enabling accurate measurement of path deviation in 2D, 3D, and time-range scenarios. The work involved implementing the compute_path_deviation function in Python, refactoring existing tests, and addressing critical bugs related to NaN propagation and floating-point edge cases. By unifying test coverage for straightness, distance-coverage, and deviation metrics, the developer improved maintainability and reliability of the codebase. Emphasizing scientific computing and data analysis, the approach leveraged pytest-driven development and continuous integration practices to ensure robust motion analysis for downstream neuroinformatics pipelines and maintain high code quality standards.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
311
Activity Months1
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 milestone for neuroinformatics-unit/movement: Delivered the Kinematics Deviation Computation feature and hardened the path-deviation workflow to improve accuracy and reliability across 2D/3D/time-range scenarios. Implemented compute_path_deviation, refactored tests, and fixed critical bugs that affected deviation results, enabling robust motion analysis in downstream neuroinformatics pipelines. Consolidated test suites to cover straightness, distance-coverage (DC), and deviation with unified time-range parametrization, improving maintainability and CI feedback. Demonstrated strong Python proficiency, pytest-driven development, code refactoring discipline, and CI/pre-commit hygiene.
1 Commits • 1 Features
Jun 1, 2026June 2026 milestone for neuroinformatics-unit/movement: Delivered the Kinematics Deviation Computation feature and hardened the path-deviation workflow to improve accuracy and reliability across 2D/3D/time-range scenarios. Implemented compute_path_deviation, refactored tests, and fixed critical bugs that affected deviation results, enabling robust motion analysis in downstream neuroinformatics pipelines. Consolidated test suites to cover straightness, distance-coverage (DC), and deviation with unified time-range parametrization, improving maintainability and CI feedback. Demonstrated strong Python proficiency, pytest-driven development, code refactoring discipline, and CI/pre-commit hygiene.
June 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
data analysisscientific computingsoftware developmentunit testing
Repositories Contributed To
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