Meisam Shabany

Meisam Shabany

Backend, AI & DevOps Engineer

Sabzevar, Iran

Designing robust, scalable systems with a microservices mindset. Focus on performance, reliability, and maintainability.

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About

Backend engineer with extensive experience in designing and implementing scalable, high-performance systems. Specialized in microservices architecture, distributed systems, and cloud infrastructure. Proven track record of leading technical teams and delivering complex projects on time.

Focus
Scalable systems, microservices, cloud infrastructure
Experience
5+ years
Status
Systems operational

How I design systems

  1. Microservices over monoliths When complexity demands it.
  2. Async by default For better resource utilization.
  3. Observability first Comprehensive logging and monitoring.
  4. Automate everything CI/CD, testing, deployment.
  5. Design for failure Resilient systems withstand unexpected issues.
  6. Documentation as code Keep docs updated with the system.
The architecture of a system is more important than the code itself. Good architecture enables good code, but good code cannot fix bad architecture.

Experience

  1. 2025 – Present

    Lead Backend Engineer / DevOps / AI Developer

    TechScale Solutions

    Led a team of 8 backend developers in designing and implementing a microservices architecture serving 2M+ users. Improved system performance by 40% through optimization and caching strategies.

  2. 2023 – 2025

    Backend Developer / Machine Vision

    CloudTech Innovations

    Developed RESTful APIs and backend services and machine vision for Golden Face platforms. Implemented authentication systems, payment processing, and third-party integrations.

  3. 2021 – 2023

    Senior Backend Developer

    DataFlow Systems

    Designed and built distributed data processing pipelines handling 5TB+ daily. Implemented real-time analytics systems using Python, Celery, and Redis.

Projects

  • Scalable PLNDai Platform

    Designed microservices architecture handling 10,000+ transactions per minute.

    • Microservices

  • Real-time Analytics Dashboard

    Built with FastAPI, WebSockets, and Redis for instant data visualization.

    • FastAPI
    • WebSockets
    • Redis

  • Distributed Task Management System

    Implemented with Celery and RabbitMQ, monitored with Flower.

    • Celery
    • RabbitMQ
    • Flower

  • AI Model Serving Infrastructure

    Created a scalable pipeline for deploying and serving machine learning models.

    • Machine learning

  • PyCourse

    An independent learning platform for AI, machine learning and Python programming.

    • Django
    • Docker
    • PostgreSQL

Skills

  • Python
  • PyQt
  • Django
  • FastAPI
  • Celery
  • Docker
  • Kubernetes
  • AWS
  • PostgreSQL
  • Redis
  • Nginx
  • CI/CD
  • System design

Backend frameworks

  • Django & Django REST Framework
  • FastAPI & async Python
  • Flask for lightweight services
  • Express.js & Node.js

Queues & task management

  • Celery with Redis / RabbitMQ
  • Distributed task processing
  • Real-time monitoring with Flower
  • Async task pipelines

Data & storage

  • PostgreSQL & MySQL
  • MongoDB & Redis
  • Elasticsearch for search
  • Caching strategies

Contact

The quickest way to reach me is email.

Email
meisam.shabany@gmail.com
Phone
+98 915 477 6467
GitHub
github.com/meysamShabany
LinkedIn
linkedin.com/in/meisam-shabany-585601242