Pol Riquelme is a software engineer based in Berlin with 11 years of engineering and research experience, currently building products at Duolingo. He holds a B.S. in Mathematics and Computer Science from the University of Chicago and combines strong theoretical foundations with practical engineering—evident from ML research reversing WiFi signal maps in PyTorch and adversarial LSTM work. His early research includes category theory and algebraic number theory surveys, and he has implemented production-style image compression tools in MATLAB and C++, showing comfort across low-level and high-level systems. Pol also has leadership experience organizing technical lecture series and shipping club web infrastructure, reflecting an ability to bridge technical delivery and community engagement. He maintains a personal site (polgomez.com) that complements his portfolio and signals a habit of documenting technical work for broader audiences.
11 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at University of Chicago
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