[H] Implement Concurrent Request Handling

### Issue: Implement Concurrent Request Handling

#### Description
The system currently lacks efficient concurrent request handling. We need to implement a multi-threading or better concurrency approach based on research to ensure high performance and scalability.

Key considerations:
- Prevent **race conditions** when accessing shared resources.
- Avoid **deadlocks** by properly managing thread synchronization.
- Ensure **safe request processing** without data inconsistencies.

#### Possible Approaches
- **Multi-threading:** Using Python's `threading` module for lightweight concurrency.
- **Multi-processing:** Using `multiprocessing` for CPU-bound tasks.
- **Asynchronous Handling:** Using `asyncio` for non-blocking request handling.
- **Thread Pooling:** Using `concurrent.futures.ThreadPoolExecutor` to manage threads efficiently.

#### Task List
- [ ] Research and finalize the best approach for handling concurrent requests.
- [ ] Implement a safe and efficient concurrency model.
- [ ] Ensure proper synchronization to prevent race conditions.
- [ ] Implement deadlock prevention mechanisms.
- [ ] Write unit tests to simulate concurrent requests and validate handling.

**Labels:** `enhancement` `concurrency` `performance`