Zeyu Mao is a quantitative trading analyst and power systems engineer with 14 years of hands-on experience blending full‑stack software development, simulation modeling, and energy research. He builds his own power system simulation solvers and has delivered production tools from edge-based non-intrusive load monitoring to web dashboards and PMU co-simulation platforms. Transitioning from academic research at UIUC and Texas A&M (PhD-level work) into quant trading at DRW, he combines rigorous data-driven anomaly detection with practical engineering for real‑time systems. An open‑source enthusiast, Zeyu frequently turns research ideas into usable code that improves operational reliability and sustainability in the energy sector. Based in Houston, he brings a rare mix of deep domain expertise in power systems and full‑stack product instincts to problem solving.
14 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 4.0, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 4.0 at Texas A&M University
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at University of Illinois Urbana-Champaign
Like Streamlit, but fast. A proof-of-concept framework built using Vue3/Vite + FastAPI + WebSockets + MSGPACK
Contributions:50 commits, 2 PRs, 51 pushes in 7 months
pythonwebsocketsvue3apachearrow
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