Summary
Alejandro Flores-velazco is a software engineer at Google in New York with a 13-year track record that spans industry and academia, including a PhD in Computer Science from the University of Maryland under Prof. David Mount. His research expertise lies in theoretical computer science—computational geometry, approximation algorithms, and data structures—with a practical focus on scalable, provably efficient nearest-neighbor classification. He has produced both heuristic and coreset-based training-set reduction techniques and designed data structures achieving state-of-the-art complexity for approximate nearest-neighbor queries. Alejandro pairs this research depth with hands-on engineering experience from internships at Facebook, teaching and course instruction at UMD, and leadership as a developer in Venezuela, enabling him to translate theory into production-ready systems. Colleagues describe him as someone who balances rigorous proofs with engineering pragmatism, often finding simple, efficient algorithmic reductions that make large-scale classification feasible.
13 years of coding experience
3 years of employment as a software developer
BEng, Computer Science, Cum Laude, BEng, Computer Science, Cum Laude at Universidad Simón Bolívar
Master's degree, Computer Science, 3.728, Master's degree, Computer Science, 3.728 at University of Maryland