Written By Mahendra , Dev Rajeev , Nihal Guided By Chanda Rajkumar ** WHY PYTHON END-TO-END? ** When the Neuro-Morph team chose their language, the answer was deliberate: Python end-to-end. Python sits at a rare intersection — dominant in machine learning, mature in web frameworks, and deeply integrated with container orchestration tooling. A single language across every layer means minimal glue code, zero context-switching overhead, and a unified type system from the API boundary all the way down to the RL training loop. ** TECH STACK OVERVIEW ** API — FastAPI Async REST endpoints, Pydantic validation, zero-config OpenAPI docs ML — PyTorch DQN RL agent training & inference with dynamic computation graphs QUEUE — Celery + Redis Async mutation task dispatch, retry logic, result backend OPS — Docker + K8s Minimal multi-stage images, Python operators via kopf OBS — Prometheus + Grafana Metrics scraping, alerting rules, real-time dashboards CI/CD — GitHub Actions Lint → test → build → push in under four…