Summary
Millan Philipose is a Member of Technical Staff and recent University of Washington CS/Math graduate focused on building AI systems that reason and code, with 11 years of hands-on experience spanning cloud computing, ML, low-level systems, DevOps, and full-stack development. He has contributed to production-scale projects—from shipping accessibility fixes and new features for the OneBusAway Android app used by over a million riders to designing a SIGCOMM-published cloud radio demodulation system that increased throughput by orders of magnitude. His research on why gradient descent yields well-generalizing deep networks informed GPU-accelerated experiments and higher-order JAX-based analyses around the Edge of Stability. Comfortable across the stack, Millan has moved kernels-to-cloud and models-to-product, having built GenAI agents, optimized PyTorch CV models to 95% accuracy, and containerized complex C++ toolchains for serverless deployment. Based in Seattle, he pairs rigorous mathematical thinking with pragmatic engineering to turn research insights into deployable systems.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Washington
High School Diploma, 4.0, High School Diploma, 4.0 at Garfield High School
Dual Enrollment, 4.0, Dual Enrollment, 4.0 at Seattle Central College