Roasting Turkey and Building Reasoning Engines

Ever feel like stepping away from the tech world means hitting pause on your skills? Think again! This developer's journey, from stay-at-home mom to deploying AI agents on Google Cloud's Vertex AI, proves that life experience can be your biggest asset. After completing the Google AI Agents Intensive Course using the Google Agent Development Kit (ADK) and Python, she built LUCIA, a multi-agent system designed to be a "scientific second chair" for doctors dealing with complex women's health issues.

The key takeaway here is the power of "separation of concerns." Instead of one monolithic AI, LUCIA uses a clever architecture of four distinct agents. First, a symptom_mapper acts as a digital scribe, translating patient narratives into structured medical data. Then, a bias_analyzer uses an "AXIOM Engine" to audit the narrative for cognitive biases, grounding its insights in facts. Following that, an advocacy_generator transforms anxiety into a structured agenda for the patient. Finally, a report_formatter compiles everything into a professional consultation brief. This parallel processing ensures that subjective patient data is accurately captured and analyzed for potential biases, leading to better clinical outcomes.

This project demonstrates that you don't need a massive team to build impactful AI solutions. By leveraging intuitive tools and focusing on real-world problems, even those with "gaps" in their resume can create clinical-grade reasoning engines. LUCIA, built between school runs and holiday prep, shows the power of combining technical skills with real-world insights. It's a testament to the fact that your experiences outside the lab can be just as valuable as those within it, fueling innovation and driving positive change in healthcare and beyond.

📰 Original article: https://dev.to/innacampo/roasting-turkey-and-building-reasoning-engines-ge8

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