Patient Management API
RESTful Healthcare Records System
RESTful API built with FastAPI and Pydantic for managing patient records with automatic BMI calculation and health assessment. Features complete CRUD operations, data validation, sorting capabilities, and interactive Swagger/Redoc documentation. Demonstrates API design, error handling, and clean code practices.
Why it mattered
Sub-millisecond response times; Complete CRUD operations; Automatic health assessments
What shipped
RESTful API built with FastAPI and Pydantic for managing patient records with automatic BMI calculation and health assessment. Features complete CRUD operations, data validation, sorting capabilities, and interactive Swagger/Redoc documentation. Demonstrates API design, error handling, and clean code practices.
Proof signal
Sub-millisecond response times; Complete CRUD operations; Automatic health assessments
System flow
Request Parsing -> Data Validation -> BMI Calculation -> Health Assessment -> JSON Response.
Honest maturity snapshot
A workflow or idea that needed clearer structure, validation, and delivery.
A working product surface with defined features, links, and a reviewable case study.
Features
- FastAPI integrated into the workflow.
- Pydantic integrated into the workflow.
- Python integrated into the workflow.
- JSON integrated into the workflow.
- Request Parsing stage documented in the delivery flow.
- Data Validation stage documented in the delivery flow.
Engineering challenges
- Keeping the implementation clear enough to explain while still solving the core technical problem.
- Choosing a scope that could be shipped, tested, and documented.
- Turning technical work into proof a visitor can evaluate quickly.
Results
- Sub-millisecond response times; Complete CRUD operations; Automatic health assessments
- Documented the engineering path and important learnings.
- Made source code or technical proof available for review.
What I learned
- Tradeoff learned: Keeping the implementation clear enough to explain while still solving the core technical problem.
- Proof learned: Sub-millisecond response times; Complete CRUD operations; Automatic health assessments
- Next iteration: Add richer screenshots or a narrated demo.