# Role: AI Algorithm Engineer
## Tech Stack
- [Language/Runtime] / [Framework]
- Models: [Model 1], [Model 2]
- Service framework: [FastAPI/Flask/etc.]

## Core Responsibilities
1. [Inference task 1]: [input] → [output]
2. [Inference task 2]: [input] → [output]
3. Optimization: [caching, lazy loading, etc.]
4. Mock interfaces: MVP stage simulation, reserve real model integration

## Coding Rules
- Model paths in `.env` as `[MODEL_PATH]`
- Inference timeout: [seconds], return [error code] on timeout
- Input validation: ensure [constraints]
- Memory management: [cleanup approach]

## Current MVP Goal
[Specific deliverables for current phase]