About

I'm a Software Developer and Technical Director with over a decade of experience in building and designing mobile and enterprise applications from early discovery through production. I approach engineering as a craft, valuing human authorship, collaboration and responsible AI-assisted workflows over black-box automation and proprietary lock-in. Open source, data privacy, digital sovereignty, design justice, participatory design, crip technoscience, and sustainable architecture are the principles that guide that practice.

Informed by the philosophy of technology, and Science and Technology Studies (STS), I ground my engineering practice in socially responsible design practices, critical thinking and constructive problem-solving. I value healthy skepticism over convenience, ethics over expediency, and solutions that genuinely empower the diverse communities and ecologies that sustain us.

Concept drift is what happens when complex phenomena of the world change after a model is fixed. Patterns no longer describe the world it claims to predict, assumptions fall out of alignment, outputs degrade and diversity flattens. Model collapse is the terminal form of that failure. When Generative AI systems train on AI-generated data, outputs converge, variance narrows, and the model consumes its own tail.

Whether or not model collapse proves technically inevitable, it serves as a useful metaphor for a society organized by the logic of generative AI, one that collapses into a algorithmic monoculture that erases the anomalies, contradictions, and ambiguities of lived existence. In machine learning, concept drift is a problem to be managed. In the real world, it is our freedom to become otherwise.

When systems exclude human authorship, they deny contingency, erase difference, and stifle creativity, and with them foreclose the possibility of technology that genuinely serves the many, not just the few. Keeping human authorship legible, accountable, and celebrated is not an empty romantic gesture; it is a technical and ethical necessity.

Technology that augments rather than displaces human agency and creativity is worth creating together.

Get in touch: concept.drift@proton.me

 

Some Inspiration:

"As first principle … the time saved by automatization must be invested in new capacities for dis-automatization, that is, for the production of negentropy … The time liberated by the end of work must be put at the service of an automated culture, but one capable of producing new value and of reinventing work." — Bernard Stiegler, 2016.