ABOUT
I work at the edge where creative vision meets technical execution. My background spans architecture, audio engineering, data science, and AI.
I design and build systems that didn't exist before: immersive sound installations exhibited across four continents, a hardware-sampled VST instrument that recreates a legendary Neve console, AI-driven production pipelines for fashion e-commerce, and a motion studio (Fluxmoth) producing work for clients including Nike, Zalando, Ottolinger, and Kérastase.
My work has been nominated at the Berlin Fashion Film Festival, selected for the ArtEvol 2025 longlist at Saatchi Gallery London, and shown at OFFF Barcelona 2026.
Background
— Audio Engineering, SAE University College Australia, GPA 6.78/7 High Distinction, Best Campus Major Project, Most Outstanding Student Award
— Data Science & Machine Learning, Code Academy Berlin
— LLMOps Specialization, Coursera / Duke University
— Architecture, FADU-UBA Buenos Aires
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I grew up on construction sites. Not as a metaphor, but literally. My parents are architects, and my childhood was spent watching 2D plans become 3D spaces you could walk through. I understood early that a drawing is a promise, and that the deeper work is in making it inhabitable.
I studied architecture at FADU-UBA in Buenos Aires, but it was moving to Australia and training as an audio engineer that changed everything. For the first time I had the space, the equipment, and the time to follow an idea all the way to its edge. I discovered that I love using things the wrong way and that the most interesting moment in any system is when you push it past its intended purpose and find out what it actually wants to do.
That's been the through-line ever since. Architecture taught me the importance of foundations, how to think in structure, space, and form. Audio engineering rewired how I perceive reality, learning to manipulate something as intangible as sound gave me access to a dimension of experience most people walk past without noticing. Data science taught me translation, how to take the messiness of reality and human experience and render it into systems I could automate, reshape, and reimagine.
Then came Berlin, where all three collapsed into the same practice.
I believe there's still enormous room to do things differently by learning exactly how something is supposed to work, and then deliberately breaking that assumption. The most interesting connections are the ones nobody thought to make because they were too busy staying in their lane.
micozzimarcos@gmail.com | Linkedin