Welcome to my portfolio. At this site, you can get information about the content I’ve written, my interests, and my areas of research.
As a consultant, I have worked in end-to-end (E2E) test automation 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, particularly 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.
I have specialized in analyzing and transforming one-dimensional signals (time series), particularly audio (music and voice recognition). My master’s 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.
Note: think of Digital Signal Processing as Data Science for embedded systems, where you need to process massive raw unstructured data (like temperature or images) using limited memory, power, and CPU. Some highly efficient numerical tools, like the Fast Fourier Transform, sampling, and pattern recognition classifiers (neural networks or adaptive filters), are used.
I’m always happy to hear from people who are interested in my work. You can connect with me through these links: