Amelio Vázquez-Reina

About Amelio Vázquez-Reina

SWE Manager @ Google Labs incubating new things in Generative Media Computer science Ph.D. with several first-author publications at top conferences in ML including CVPR, ECCV (with oral presentations in both, with acceptance rates of 4% and 3.3% respectively) and ICCV. 20 years of experience building large-scale machine learning solutions in academia and industry• Built and led highly accomplished technical teams at two ventured-backed companies that were successfully acquired: SessionM (acquired by Mastercard) and dataxu (acquired by Roku)• Over 15 years of hands-on experience with Python, ML, Big Data technologies and cloud solutions. Recognition• Top 0.01%, 0.02% and 0.05% user in all-time reputation in StackOverflow, Unix & Linux, and Cross Validated respectively (Stack Exchange sites).• Recipient of the \"Best M.Sc. Thesis award in Electrical and Computer Engineering\" by the \"Colegio Oficial de Ingenieros de Telecomunicación\"(COIT) in Spain.• Officially credited for finding two errors in Lemma 8.4 (Radix Sort) in \"Introduction to Algorithms\"(CLRS), a book first published over 30 years ago and a reference in the field. The errors were subsequently corrected in the 12th printing of the 2nd edition of the book.• Erdös number of 4: Amelio Vazquez-Reina → Hanspeter Pfister → John F. Hughes → Paul Erdös. Other• US Citizen• Twitter: https://twitter.com/ameliovr• StackOverflow: https://stackoverflow.com/users/283296/amelio-vazquez-reina?tab=profile• Google Scholar: & hl

Experience

1. Software Engineering Manager

   Google

   Sep 2020 — Present

   2023 - Present: Incubating new things in generative AI @ Google Labs. Come join us!• 20••••22: Led the Memories ML and backend teams for Google Photos.

Education

• Tufts University

  Ph.D., Computer Science

• Universidad de Alcalá

  B.Sc, Electrical and Computer Engineering

• Universidad de Alcalá

  M.Sc., Electrical and Computer Engineering

Skills

• Distributed Systems
• Parallel Computing
• Mathematical Modeling
• Markov Models
• Physics
• Data Science
• Bioinformatics
• Dataxu
• Data Mining
• Science
• Algorithms
• Deep Learning
• Zsh
• High Performance Computing
• Image Processing
• Matlab
• Python
• Latex
• Probabilistic Programming
• Computer Vision
• Natural Language Processing
• Applied Mathematics
• Leadership
• Statistical Modeling
• R
• Artificial Intelligence
• Apache Spark
• Simulations
• Information Retrieval
• Signal Processing
• Mathematica
• Pattern Recognition
• Machine Learning
• Scientific Computing
• Numerical Analysis
• Statistics
• Data Analysis
• C++
• Big Data
• Sql