Specialization Hub — PYTHON BACKEND & SYSTEM DESIGN
Python Backend & Systems Engineering
Engineering scalable backend systems with Python — from event-driven architectures and distributed services to high-concurrency APIs, asynchronous processing, and resilient system design built for real-world workloads.
My journey with Python Backend Engineering has been shaped by building event-driven systems, distributed orchestrators, asynchronous microservices, and scalable backend services. From designing reliable APIs and database workflows to handling concurrency, messaging, and service coordination, I’ve applied system design, networking, and operating-system fundamentals to solve real-world backend engineering challenges.
Asynchronous Python & APIs
Expert in FastAPI, Asyncio, Pydantic v2, RESTful API design, background tasks, and non-blocking I/O event loops.
Databases & Message Queues
Proficient with PostgreSQL (SQLAlchemy async sessions), MongoDB, Redis Streams, and RabbitMQ message brokers.
Containerization & DevOps
Experienced with Docker, Docker Compose, Kubernetes manifests, Git workflows, and automated CI/CD pipelines.
Backend & Systems Toolkit
Featured Projects
Implemented an Orchestrated Saga Pattern in Python using FastAPI, Redis Streams, and RabbitMQ for distributed transaction rollback consistency with high concurrency.
Production API middleware providing Server-Sent Events (SSE) streaming token responses from Bedrock foundation models with Pydantic v2 validation.
Low-level operating system simulator modeling virtual memory paging, LRU eviction algorithms, dynamic heap allocators, and process control blocks (PCB).