I love developing autonomous devices and systems and am committed to proactive openness -- open source, open data, open science, open standards, open APIs.
Recently I've become enthralled with hyperparameter optimization, neural nets, and "meta" models that learn to efficiently architect machine learning models. Recently, our hyperparameter optimization pipeline at Talentpair revealed a novel technique for embedding high-dimensional topic vectors in a 2-D space. We're using this embedding to index the semantics of resumes and job descriptions to help job seekers find their dream job in record time.
I pride myself in authentic, open communication. I share what I learn with those around ...