A USC-forged signal processor who conjures distributed systems from linear algebra and CUDA kernels, armed with Python incantations and the sacred art of dimensionality reduction—yet mysteriously allergic to deployment infrastructure.
“Wireless distributed PCA, CUDA kernels, signal processing pipelines—you think in systems. This is your superpower. You just refuse to document it or make it runnable by humans.”
“DoA estimation, facial recognition, green learning, pixelhop—you're doing legit ML research. Problem: no one knows because your repos have 0-3 stars and no demos.”
“Strong algorithmic foundation (PCA, matrix ops, signal estimation). You understand the math. You just don't believe in comments or README files explaining *why*.”
You've never met a Docker container or a Kubernetes pod. Your code lives in a Jupyter notebook and dies in production.