Software Engineer · AI Engineering

Hi there! I'm Mohamad,
A Software Engineer at Zebracat AI.

I build the backend behind AI products — distributed systems, real-time pipelines, and high-throughput services that quietly do the heavy lifting. At Zebracat AI, I lead the backend for AI video generation. Day to day I work in Python and TypeScript across Postgres, Redis, Qdrant, Celery, Kubernetes, and AWS — and I'm going deep on agents, MCP, and the architecture of production-grade AI.

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About Me

I'm a software engineer with 5+ years of experience designing and shipping production systems for AI-driven products. My focus is building distributed, event-driven architectures: microservices that communicate over gRPC and message queues, real-time WebSocket APIs, vector-search pipelines for ML retrieval, and observability-first deployments on Kubernetes.

At Zebracat AI I lead backend services for AI video generation — the systems behind asset processing, generation orchestration, and collaborative editing. I work across Python and TypeScript, ship on AWS with PostgreSQL, MongoDB, Redis, and Qdrant, and instrument everything with Sentry, Elastic APM, Prometheus, and Grafana.

Outside work I contribute to open-source on GitHub and maintain a few Telegram bots that have served 50k+ users. I care about clean code, testability, and shipping things that stay up.

Experience

Backend Engineer · Team Lead

Sep 2024 — Present

Zebracat AI · Berlin, Germany

Leading the backend team for an AI video generation platform. Driving day-to-day delivery and ensuring system stability and high performance across services while aligning engineering efforts with customer needs and business priorities. Maintaining and expanding the backend with new services and features built in Django, FastAPI, and RabbitMQ — focused on scalable, efficient, and reliable systems that power real-time operations and platform growth.

Fullstack Developer

Jun 2021 — Sep 2024

Freelance

Delivered multiple end-to-end web projects with full ownership across frontend and backend. Shipped complete solutions including SaaS platforms and VPN-related services, from initial requirements gathering to production release. Designed scalable backend architectures, implemented responsive interfaces, integrated third-party services, and ensured performance, security, and reliability while meeting client deadlines.

Projects

Fast Commerce

An advanced e-commerce platform for vendors to create and sell products, with efficient order processing, shipping, and a strong focus on user feedback. Backend powered by FastAPI with PostgreSQL and Redis for caching. Tested with Pytest and deployed on Kubernetes for scale.

FastAPI PostgreSQL Redis Pytest Kubernetes

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Food Anywhere

A food delivery system that connects users with nearby restaurants. Built with Django and PostGIS for geospatial queries, Redis for caching and cart state, Celery for background work. Monitored with Prometheus, Grafana, and Loki; deployed via Docker and Kubernetes.

Django PostGIS Redis Celery Prometheus Grafana Kubernetes

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Job Hunt

A microservice-based job search platform. The users service is powered by FastAPI; the jobs service runs on Golang Fiber. Redis for caching, RabbitMQ for inter-service messaging, Kubernetes for deployment, and GitHub Actions for CI/CD.

FastAPI Go · Fiber Redis RabbitMQ Kubernetes GitHub Actions

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Skills

I work daily across backend, AI, and infrastructure — and I'm constantly learning. Right now I'm deep into AI engineering: building agents, working with MCP, designing the architecture behind production-grade AI systems, and shipping with Claude as part of my everyday workflow.

What I'm building right now

Agents, MCP servers, and the orchestration layers underneath them. Passionate, learning hard, shipping daily.

Agents MCP — Model Context Protocol RAG & Vector Search LLM Architecture Tool Use & Function Calling Multi-Agent Systems Prompt Engineering Evals & Observability