maria takova

Backend, Data & AI Engineer building production-ready APIs

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Nessebar, Bulgaria

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maria takova

pro

• Oct 15

Hi Contra people,

If you are curious about the what is new in agentic harness you deffinitly need to check AREX.If you don`t have time for the whole reseach my article [

linkedin.com

Insights from AREX’s Self-Improving Approach

When we talk about the future of AI, the conversation often centers solely on the size or capacity of the model, but in Codea we know that that is not deciding factor. The AREX project demonstrates, the real breakthrough isn’t just about the brain—it’s about the system around it.

maria takova

pro

• Oct 3

Hello Contra people.

I am reaching for advice. We want to keep this paper design but make it not looking so plain. Any ideas how to improve it? The full site can be reached at codea.bg

maria takova

pro

• Sep 27

Hello Ai entusiast. Jev is here 🙌 It isn’t just another classifier—it’s a paradigm shift in how AI makes decisions. While BERT and XGBoost excel at structured tasks, they demand labeled data, training cycles, and ongoing maintenance. Jev, by contrast, delivers calibrated,...

llm AI Development jev

medium.com

Jev in AI: The Paradigm Shift in Structured Decision-Making — Beyond BERT, Beyond XGBoost

In the rapidly evolving landscape of artificial intelligence, one name has sparked both excitement and controversy: Jev, TypeSafe AI’s…

maria takova

pro

• Jun 5

Hi Contra people,

In Codea we work on STR automation and we are looking for few people to test it for free aand give us a feedback. Everyone who managing short term rental is welcome.

maria takova

pro

• Jun 4

Hi Contra people, As you know RAG/LLM systems look easy in demo mode. The real learning starts when they hit production. 😅

I recently wrote a Medium article sharing some of my lessons learned while building and deploying RAG/LLM systems — the unexpected challenges, trade-offs,...

medium.com

Building an Intelligent FAQ Assistant: The Complete Production RAG Pipeline

Moving an enterprise Retrieval-Augmented Generation (RAG) system from a functional codebase to a resilient production service is…