Summary
Robert P is a seasoned developer and technical architect with 13+ years building scalable analytics, trading, and risk systems for high-frequency and enterprise workloads. He led platform and analytics engineering at Constellix/DNS Made Easy to process and surface insights from over 30 billion DNS queries per day, and previously architected hosted trading platforms and fixed-income trading systems for institutional clients. With a PhD in Physics, his work bridges mathematical modeling, machine learning, and emergent dynamics—most recently exploring anomaly detection and spiking neural network research alongside distributed-system design. Comfortable moving between low-latency C++ models and cloud-scale data pipelines, he excels at turning complex quantitative problems into operational, production-grade software. Colleagues describe him as a hands-on builder who hires and grows strong teams while remaining deeply involved in the code and research.
13 years of coding experience
23 years of employment as a software developer
BS, Physics, BS, Physics at University of Massachusetts Amherst
PhD, Physics, PhD, Physics at University of Illinois Urbana-Champaign
English, German