I will build custom ai agents, chatbots and automation systems


About this gig
I build custom AI agents and automations that hold up in production not fragile no-code demos.
I recently built a custom AI fitness-coaching agent for a private platform: it reasons over each user's workouts, calorie intake, and gym-attendance data to deliver personalized coaching in real time. I also built ÉnerCash, an AI SaaS that analyzes energy bills and finds savings. I bring that same production standard to your project.
What I can build for you:
Custom AI agents that reason over your data
RAG chatbots trained on your docs, FAQ & website
Workflow automation (n8n, Python, API integrations)
Model fine-tuning on your own data
️ Connected to your tools CRM, email, databases, Slack
Deployed, monitored, and built to scale
Why me:
I'm a backend engineer who builds agents from scratch trained and fine-tuned myself with real error handling, security, and production deployment. Anyone can wire up a prototype; I build the version that holds up.
Tell me what you want to automate and I'll send a custom offer scoped to your exact needs.
Get to know Mohamed Zaarir
FullStack Developer building production ready web apps and AI integrations
- FromAlgeria
- Member sinceApr 2020
Languages
English, Arabic, French
My Portfolio
Other AI Development Services I Offer
FAQ
Can you build an AI agent that uses my own data and documents?
Yes — that's the core of what I do. I build RAG systems and agents that reason over your documents, FAQ, database, or any knowledge source, so the AI answers from your information, not generic web data.
What's the difference between a chatbot and an AI agent?
A chatbot answers questions. An agent takes actions — it reasons over your data, calls your tools and APIs, and completes multi-step tasks (fetch, update, notify, book). I build both; tell me your use case and I'll recommend the right fit.
Can you connect it to my existing tools (CRM, email, Slack, etc.)?
Yes. I integrate agents and automations with your existing stack — CRM, email, databases, Slack, n8n, and most APIs. If it has an API, it can almost certainly be connected.
Will this hold up in production, or is it just a demo?
Production is the whole point. I'm a backend engineer — I build with real error handling, security, and deployment (Docker, monitoring), not a fragile no-code flow that breaks under real use.
Which AI models do you work with?
Primarily GPT, Claude, and Gemini, plus open-source models I can fine-tune on your own data when that's the better fit. I'll recommend the right model for your use case and budget.

