Meet our alumni: Cezar Crintea, a Software Architect with 25 Years of Development to AI Production

How it started

With over 25 years in software development and currently serving as CTO at a financial reporting and ERP company, our graduate Cezar Crintea had solid engineering experience, but what he needed on top of that is the practical AI knowledge to implement solutions for clients.

“I wanted to see how AI could actually help us,” he says. “Not in a general sense. I wanted to build agents that assist implementation, a small retrieval system for support, and an AI tool to help clients interpret financial data.”

Cezar’s company works with confidential financial data for enterprise clients. The challenge was to determine how to deploy AI securely and effectively in a business environment, while developing agents to assist with implementation and a RAG-based support system able to interpret complex financial reports.

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Learning path to achieving the goal

The 10-week AI Engineering bootcamp provided Cezar with what he needed most: practical depth without unnecessary theory. During 10 weeks, he learnt about:

• AI architectures and frameworks from professionals;
• LangChain and vector database implementation;
• Platform-independent agent development;
• Self-hosting LLMs for secure deployment.

The focus on platform-independent agents and self-hosted LLMs proved critical for securely handling confidential financial data.

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Building product and thinking ahead

Now, Cezar is bringing AI into his company’s work step by step. He’s testing agents that could simplify system implementation and exploring self-hosted solutions for handling sensitive financial data.

He’s careful not to overstate what AI can do, but he’s also certain it will stay.

“If I just needed a single project, I could hire a freelancer. But this is different. AI, especially LLMs, will be part of software development for a long time.”

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Turning development experience and new knowledge into action

The transition from 25 years of traditional development to building production AI systems took 10 weeks of focused learning. The key was practical application over theory, and structured guidance over trial and error.

“You learn from people who’ve done it before,” he says. “That’s what made it meaningful.”

Within weeks of completing the bootcamp, Cezar moved from concept to production solutions for his clients.

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Ready to upskill and build production AI solutions how Cezar did? Join AI Engineering Bootcamp now.