Architectural Deep-DiveAI/Backend Engineer

TherapistGPT Engine

A specialized REST API suite hosting fine-tuned neural models for audio feature classification, emotion state parsing, and cognitive counseling assistance responses.

PythonDjango REST FrameworkTensorFlow

Source Code

System Challenge

Serving massive, fine-tuned deep learning models via a standard REST API without blocking the event loop or causing extensive request timeouts during real-time emotional analysis.

Architecture & Solution

Engineered a highly optimized Django REST Framework suite. Implemented a decoupled architecture where audio parsing and TensorFlow model inference run on background Celery workers, returning stateful status updates to the client.

Performance Outcomes

Successfully decoupled heavy tensor operations from the primary API request cycle.
Enabled near-real-time emotion state classification from raw audio bytes.
Created a secure, rate-limited environment suitable for sensitive cognitive queries.