ntu-pear/PEAR_patient_service
Jan 2025 – Mar 2025
3 Months active
Languages Used
PythonSQL
Technical Skills
API DevelopmentBackend DevelopmentDatabase InteractionDatabase ManagementDatabase OperationsFastAPI
Wei Kang Chong
PROFILE
Wei Kang Chong
Worked on the ntu-pear/PEAR_patient_service repository, delivering eight features and resolving one bug over three months. Focused on backend development using Python and SQL, the work included implementing soft-delete patterns for patient data, standardizing user ID types, and migrating data models to Pydantic v2 for improved maintainability. Enhanced API security by introducing JWT-based authentication and robust token expiry validation, while also adding server-side pagination and advanced filtering for patient and allergy data. Improvements to logging, database schema, and test coverage contributed to better data integrity, compliance readiness, and developer productivity, supporting safer data retention and more scalable API operations.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
20Total
Bugs
1
Commits
20
Features
8
Lines of code
5,789
Activity Months3
Your Network
11 peopleShared Repositories
11
Work History
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for ntu-pear/PEAR_patient_service focusing on delivering business value through data model cleanup, API scalability improvements, and security hardening. Highlights include enhanced patient filtering, pagination for allergy data, and robust JWT expiry handling with corresponding tests, resulting in faster queries, improved data integrity, and reduced security risk.
7 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for ntu-pear/PEAR_patient_service focusing on delivering business value through data model cleanup, API scalability improvements, and security hardening. Highlights include enhanced patient filtering, pagination for allergy data, and robust JWT expiry handling with corresponding tests, resulting in faster queries, improved data integrity, and reduced security risk.
March 2025
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025: Delivered two core features for ntu-pear/PEAR_patient_service, with a strong emphasis on data integrity, security, and API cleanliness. Key work includes standardizing user ID types across models and migrations, and implementing JWT-based authentication utilities with integrated API logging. Also performed API configuration cleanup to remove unused imports and streamline OpenAPI metadata. These changes reduce datatype drift, improve security posture, and enhance developer experience, while maintaining backward compatibility for CRUD operations.
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025: Delivered two core features for ntu-pear/PEAR_patient_service, with a strong emphasis on data integrity, security, and API cleanliness. Key work includes standardizing user ID types across models and migrations, and implementing JWT-based authentication utilities with integrated API logging. Also performed API configuration cleanup to remove unused imports and streamline OpenAPI metadata. These changes reduce datatype drift, improve security posture, and enhance developer experience, while maintaining backward compatibility for CRUD operations.
January 2025
9 Commits • 4 Features
Jan 1, 2025January 2025 performance summary for ntu-pear/PEAR_patient_service: Delivered data lifecycle enhancements, modernization, and observability improvements across core patient data. Implemented soft-delete across allergy and highlights modules to preserve historical data while simplifying active-state filtering. Introduced SQL scripts, schema changes, and refactored Python code to align with DB changes and soft-delete patterns. Migrated data models to Pydantic v2 (model_dump and ConfigDict/model_config) with updated tests and resolved warnings. Enhanced logging with daily rotating logs and refined repository hygiene (.gitignore), contributing to more reliable CI/CD. Overall, these efforts improve data integrity, compliance readiness, and developer productivity, enabling safer data retention and faster iteration on patient data features.
9 Commits • 4 Features
Jan 1, 2025January 2025 performance summary for ntu-pear/PEAR_patient_service: Delivered data lifecycle enhancements, modernization, and observability improvements across core patient data. Implemented soft-delete across allergy and highlights modules to preserve historical data while simplifying active-state filtering. Introduced SQL scripts, schema changes, and refactored Python code to align with DB changes and soft-delete patterns. Migrated data models to Pydantic v2 (model_dump and ConfigDict/model_config) with updated tests and resolved warnings. Enhanced logging with daily rotating logs and refined repository hygiene (.gitignore), contributing to more reliable CI/CD. Overall, these efforts improve data integrity, compliance readiness, and developer productivity, enabling safer data retention and faster iteration on patient data features.
January 2025
Activity
Loading activity data...
Quality Metrics
Correctness87.6%
Maintainability86.0%
Architecture83.0%
Performance82.4%
AI Usage21.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API DevelopmentAPI SecurityAuthenticationBackend DevelopmentData ModelingDatabase InteractionDatabase ManagementDatabase OperationsFastAPIJWTLogging ConfigurationPydanticPythonRefactoringSQL
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline