You will get AI Agent Integration & Automation Backend (FastAPI / Django / Express.js)
Project details
I focus on turning AI agents into reliable backend systems, not demos.
My work combines AI integration, automation, and production-grade APIs—with clean architecture, proper async handling, background jobs, and security—using FastAPI, Django, or Express.js.
What sets me apart is my real-world automation experience: I build AI that actually connects to databases, external services, and workflows, and keeps working after deployment.
My work combines AI integration, automation, and production-grade APIs—with clean architecture, proper async handling, background jobs, and security—using FastAPI, Django, or Express.js.
What sets me apart is my real-world automation experience: I build AI that actually connects to databases, external services, and workflows, and keeps working after deployment.
Programming Languages
Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance OptimizationWhat's included $10
These options are included with the project scope.
$10
- Delivery Time 7 days
- Number of Revisions 7
- Number of Pages 7
About BENSERYA
Backend Developer | FastAPI, Django & Express (TypeScript)
Rabat, Morocco - 3:17 am local time
If you’re a startup founder or SaaS owner who needs a backend that’s production-ready from day one, I can help.
I’m Mohamed, a backend developer with 3+ years of experience building APIs, automation systems, and data-driven backends using FastAPI, Django, and Express (TypeScript). I help teams turn ideas into stable, scalable systems using the right stack — not just the trendy one.
Whether you’re launching an MVP or improving an existing product, I focus on clarity, performance, and long-term maintainability.
What I can help you build
High-performance APIs with FastAPI, Django, or Express (TypeScript)
Secure backend architectures with authentication, roles, and permissions
Well-structured RESTful APIs that are easy to consume and extend
PostgreSQL, MongoDB, and MySQL integrations and optimizations
Redis for caching, queues, and background tasks
Dockerized backends for predictable deployment and scaling
AI-powered features using OpenAI, Whisper, or other LLM tools
Microservices, internal tools, and backend utilities
Data pipelines & automation that feed clean data into your product
How I approach backend work
I don’t just ship features — I design systems that hold up under real usage.
My background in automation and data-heavy projects taught me how to:
avoid unnecessary complexity
optimize performance early
keep APIs consistent
and write code that other developers can actually understand
The goal is always a backend that’s easy to maintain and hard to break.
What teams typically gain
Faster and more reliable API responses
Reduced infrastructure and maintenance costs
MVPs that are ready for real users, not rewrites
A backend foundation that scales as the product grows
A good fit if you need expertise in
✅ Python (FastAPI, Django)
✅ TypeScript (Express.js)
✅ REST API architecture
✅ PostgreSQL / MongoDB / MySQL
✅ Redis / Docker / deployment
✅ OpenAI & LLM integrations
✅ Data processing & backend automation
✅ Performance & scalability
💬 Bonus: I’m comfortable working in remote teams and communicating clearly with non-technical stakeholders, turning business goals into solid technical solutions.
Steps for completing your project
After purchasing the project, send requirements so BENSERYA can start the project.
Delivery time starts when BENSERYA receives requirements from you.
BENSERYA works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & architecture
Understand your use case and design the AI agent workflow and backend structure.
AI integration
Connect and configure the AI models, tools, and prompts.