Summary
Eric Paniagua is a software engineer in Sunnyvale with a decade of experience building high-throughput, reliability-focused systems at Google and earlier roles across finance and scientific research. At Google he designs and optimizes an internal graph query language serving massive QPS for Search, applying programming language theory, type systems, and abstract rewrite systems to unlock production performance gains. His background spans neuroscience, physics, mathematics, and CS—work that ranges from CUDA-accelerated bioinformatics pipelines to distributed reliability tooling—so he comfortably bridges hardware acceleration, verifiable computing, and platform architecture. He has SRE experience leading Speech and Dialogflow reliability efforts, automating operational workflows with pragmatic Go tooling. Passionate about exploring frontiers like topological quantum computing and the future of cloud/network platforms, he actively seeks leadership and cross-disciplinary challenges. Colleagues would note his talent for drawing novel connections across domains and replacing himself with small, elegant automations.
10 years of coding experience
8 years of employment as a software developer
BS (to be earned), Mathematics, Computer Science, BS (to be earned), Mathematics, Computer Science at California Institute of Technology
(non-matric), Electrical and Mechanical Engineering, (non-matric), Electrical and Mechanical Engineering at Stony Brook University