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I will consult on your rag llm architecture and benchmarking

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Ferran A

About this gig

I am a Data Science and Engineering Physics double-major at UPC with professional experience developing automated benchmarking frameworks for Retrieval Augmented Generation (RAG) systems.


Unlike generic developers, I approach AI with scientific rigor. I have practical experience in:

* Benchmarking RAG pipelines for objectivity and compatibility.

* Architecting evaluation systems for LLMs.

* Optimizing data pipelines for accuracy.


What I offer in this Gig:

I will review your current AI/RAG architecture and provide actionable, high-level feedback to unblock your development, check the different plans I offer, or we can negotiate a more personalized solution. 


Why me?

* Native Catalan/Spanish & Professional English.

* Strong academic record with Honors.

* Real startup experience in Agentic AI.


Please Note: Contact me with your project details before ordering to ensure I am the right fit for your specific stack.

Get to know Ferran A

Ferran A

Data Science and Physical Engineering Undergraduate

  • FromSpain
  • Member sinceFeb 2026
  • Languages

    English, Spanish, Catalan
Hello! I am Ferran, a double-major student in Engineering Physics and Data Science. I have extensive knowledge of Python, R, C++, statistics and data visualization. I also have practical experience with AI, particularly LLM systems and data pipelines, as well as web scrapping and simulations. I have a strong academic record and many projects showcasing my skills, in data science, software development and physics. Feel free to contact me to discuss how I can help with your project!