Audio software engineer · Copenhagen

Engineering better ways to understand sound.

I build DSP tools, acoustic workflows, and AI-assisted products that help technical users move from complex evidence to clear engineering decisions.

Jaime Castresana Iza, audio software engineerJC / 01

Software · acoustics · DSP · AI

Where I have built things.

Built with depth.

From embedded audio processing to evidence-grounded acoustic investigation tools.

Vehicle in an engineering inspection chamber representing commercial acoustic modelling workflows02

Professional work

Acoustic engineering software for TPA and noise-emission modelling

Full-stack commercial software for acoustic analysis, model comparison, and validation.

C#/.NETReactAcoustic softwareValidation
View project
Loudspeakers and audio equipment representing embedded crossover development03

MSc thesis

Digital audio crossovers on ARM Cortex-M7

An MSc thesis implementing and evaluating loudspeaker crossover processing on an ARM Cortex-M7.

Embedded audioDSPLoudspeakersARM Cortex-M7
View project
Colourful data visualisations representing psychoacoustic metric comparison04

Commercial proof of concept

Sound Quality POC

A commercial proof of concept for comparing sounds using psychoacoustic metrics.

Sound qualityPsychoacousticsAcoustic metricsProduct workflow
View project

Depth across the stack.

Product-minded software engineering grounded in audio, measurement, and technical-user workflows.

01

Software

  • C# / .NET
  • React
  • TypeScript
  • Python
  • APIs
  • Testing
02

Audio

  • DSP
  • FFT analysis
  • Acoustics
  • Psychoacoustics
  • Measurements
03

AI systems

  • Tool calling
  • Evidence grounding
  • Agent workflows
  • Automated evaluation
04

Product

  • Technical UX
  • Workflow design
  • Validation
  • Cross-functional delivery

Sound engineer.
Product thinker.

My background spans embedded DSP, commercial acoustic software, and AI-assisted engineering workflows. I care about turning specialist analysis into products that remain rigorous, understandable, and useful in real engineering work.

The most interesting problems sit at the intersection of signal processing and human perception.
Education
MSc Sound and Music Computing
Location
Copenhagen, Denmark
Focus
DSP · Acoustics · AI engineering tools
Current role
Software Engineer at HBK

Let's build better
audio products.

Open to thoughtful conversations about audio software, DSP tools, and AI-assisted engineering.