Welcome to my portfolio. At this site, you can get information about the content I’ve written, interests, and areas of research.
As a consultant, I have worked automating and executing end-to-end (E2E) tests for US-based clients. My expertise has been focused on DotNet, Selenium WebDriver, and nUnit for testing web pages and web services. I’m also open to other languages and tools, in particular, Python/PyTest and JS/TS with either Selenium, Playwright or Appium. I have been a certified tester since 2024 (ISTQB Certified Tester Foundation Level 4.0). Look at my automation portfolio at https://github.com/juanfonsecasolis-automation.
Think of Digital Signal Processing as Data Science for embedded systems. In embedded systems you need to process massive raw unstructured data (like audio or temperature) using limited memory, power, and CPU. For that, you need high-efficient numerical tools, like the Fast Fourier Transform, and some light pattern recognition classifiers, like neural networks or adaptive filters (also know how to sample data to avoid aliasing). I have specialized in analyzing and transforming one-dimensional signals, particularly, audio (music and voice recognition). My master thesis was about recognizing the sound of accessible pedestrian signals, an idea started by Mario Monge and Sharon Bejarano in 2013. I have also published some work about audio testing on webpages using audio fingerprinting, wavelets and Fourier transform, audio compression codecs, signals in web stress testing, and financial signals. Look at my DSP portfolio at the content below.
I’m always happy to hear from people who are interested in my work. You can connect with me through these links: