people talk about “ai in healthcare” as if it’s a slogan. the real work is getting models to behave in the real world, with messy data, uneven labeling, and edge cases that don’t care about your roadmap.
at ataraxy, i led the machine-learning stream for a large clinical data...
most data platforms rot from the inside out. too many pipelines, too many one-offs, too many decisions made under pressure and never revisited. everyone feels the pain, nobody has the time to fix it.
my role over the past months was to stop that cycle. i took ownership of a...
ataraxy began as a small product practice focused on turning rough ideas into working products. it grew into a team delivering full-stack experiences: software, mobile, backend services, integrations, connected hardware, and...
most ai projects talk about “trust” without ever earning it. at verusen we took the opposite path: we built explainability into the core of the product, not as an accessory.
my role was to make this real. i led the work that turned years of messy historical recommendations, user...