How Biomedical Engineering changes the way I write software

URV's Biomedical Engineering degree connects information technology with the biomedical environment. Its curriculum spans instrumentation, clinical and omics data, ICT for telemedicine and hospital management, and medical imaging with artificial intelligence techniques.

In my work, that means checking data quality, understanding measurement limits and preserving traceability. A very precise conclusion can still be wrong when it starts from an incomplete signal.

An isolated analysis has limited value if it never reaches the moment when someone needs to act. Full-stack development lets me connect interface, business logic, APIs, persistence, security and infrastructure in one tool.

I work mainly with TypeScript, Next.js, React, Node.js, NestJS, PostgreSQL, Prisma and Docker. I choose the final combination according to the problem, the people maintaining it and the reliability it needs.

Before thinking about AI, I ask which decision, prediction or repetitive task needs help. Then I define the inputs, constraints, how to measure the result and where a person should review it.

Etecnic Plus used this method for maintenance planning, technician assignment and routing. At Orquesta Labs I apply it to restaurant operations, where a recommendation must be timely, understandable and compatible with the team's pace.

I am interested in healthtech, clinical informatics, internal tools for healthcare teams, data processing, telemedicine and decision support.

The same way of thinking also helps outside health when data is imperfect and people need to coordinate. The process remains: learn the domain, model the problem and check that the tool fits the daily work.