I will build an autonomous ai agent with tools and ai models


About this gig
Stop building chatbots. Start building digital employees.
As a CS Engineer and an ex co-founder of Leaflet (Logistics Tech), I don't just "prompt" AII architect autonomous systems. I ensure Maximum Relevance by connecting AI agents to your live business data, eliminating hallucinations and ensuring every output is grounded in truth.
️ The Triple-Threat Stack:
- Intelligence: Autonomous Agents (LangChain, CrewAI, Relevance AI) that reason, plan, and execute.
- Orchestration: Advanced n8n workflows with custom Python/JS logic nodes for complex decision-making.
- Infrastructure: RAG (Knowledge Bases) and API integrations that provide the contextual relevance your AI needs to be useful.
Why an Engineer/Founder?
- Business Logic: Having founded a logistics startup, I build for ROI. My systems save hours, not just look cool.
- Data Privacy: I specialize in self-hosted (VPS/Docker) deploymentsyour data stays relevant and private.
- Scalable Code: Built with Django/MERN logicclean, documented, and secure.
My Process:
- Requirements Analysis (SRS)
- Architecture Design
- Stress Testing & Deployment
Lets automate your scale. Message me before ordering!
Get to know MUSHFIQ ARNAB
Building Full Stack Apps and AI Agents that Automate Your Growth
- FromBangladesh
- Member sinceApr 2026
- Avg. response time1 hour
Languages
Bengali, English, French, Hindi
My Portfolio
FAQ
Is my business data safe with these AI Agents?
Absolutely. Unlike generic GPT wrappers, I specialize in Self-Hosted deployments (Docker/VPS) and n8n workflows where your data never leaves your infrastructure. I implement strict API security and can use local LLMs (Llama 3/Mistral) if your industry requires 100% data sovereignty.
Can you integrate the AI with my existing CRM or Database?
Yes. As a Full-Stack Developer (MERN/Django), I can build custom API connectors for any platform with an interface (Salesforce, HubSpot, Shopify, or SQL databases). If a native n8n node doesn't exist, I write a custom Python/JavaScript script to bridge the gap.
How do you prevent the AI from making up false information?
I use RAG (Retrieval-Augmented Generation) and Relevance AI frameworks. This ensures the agent "reads" your specific documents/data before answering. By grounding the model in your "Source of Truth," we achieve maximum contextual relevance and virtually eliminate hallucinations.
What happens if an automation workflow breaks?
All my systems include Error Handling and Logging by default. For my Standard and Premium packages, I provide a handover document (SRS) and 14–30 days of post-deployment support to ensure the "Digital Employee" is performing perfectly.

