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Fiverr Pro
English
$
USD
I will develop custom ai agents and rag systems with full code control
Pablo M
About this gig
No-code AI platforms are great for prototypes, but when your business scales, they become expensive, rigid, and a security risk for your private data.
I specialize in building Code-First AI Agents and Multi-Agent Systems. By developing custom solutions from scratch using modern frameworks like Agno, I give you 100% control over your architecture, logic, and data privacy.
Why Code-First over No-Code?
- Full Control & Ownership: No vendor lock-in. You own the source code and the infrastructure.
- Data Privacy: We can route data securely or even use self-hosted LLMs. Your sensitive business data stays yours.
- Infinite Scalability: Complex reasoning, multi-agent orchestration, and custom API integrations that drag-and-drop tools simply cannot handle.
My AI Expertise: ️ Multi-Agent Orchestration: Designing teams of AI agents that collaborate to solve complex, multi-step workflows.
Custom Tool Calling: Giving agents the ability to read your databases, execute scripts, and interact with your internal APIs. ️ Infrastructure: Full deployment on your preferred Cloud or or highly optimized VPS environments.
Tech Stack: Python | C# | Agno| Vector DBs | LLMs (Claude, GPT, Local) | VPS
Get to know Pablo M
Pablo M
Senior Backend Developer
- FromArgentina
- Member sinceJul 2026
- Avg. response time5 days
Languages
Spanish
I am a Senior Backend Developer specialized in C# and .NET 10 with over 20 years of experience building robust, scalable systems for critical environments. I focus on clean architecture, microservices, and high-performance APIs while staying updated with modern technologies like AI, LLMs, and cloud infrastructure. I enjoy solving complex problems with simple, precise, and sustainable solutions.
FAQ
Will I have to pay high API token costs to run these AI agents?
Not necessarily. While we can connect to OpenAI or Anthropic for specific complex reasoning, my code-first approach allows us to easily rotate models. For many workflows, I can deploy open-source models (like Qwen or Kimi) running via Ollama in a local container on your VPS. This means you pay zero
Can you guarantee my business data won't be used to train external AI models?
Yes. By utilizing the local Ollama container strategy mentioned above, your data never touches external APIs like OpenAI. Everything is processed on your own infrastructure, ensuring military-grade privacy and full compliance with internal security policies.
What if a better AI model comes out next month?
The beauty of a custom, code-first architecture is its flexibility. We are not locked into one vendor. If a new, more efficient model is released, we can simply swap the API endpoint or update the local container, keeping your system always at the cutting edge.
