Iván Pérez
Senior Applied Scientist (L6) - Alexa AI - Text To Speech at Amazon
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolIván Pérez is a Senior Applied Scientist (L6) at Amazon Alexa AI specializing in text-to-speech research, with 12 years of experience bridging deep learning research and production systems. He holds a PhD in Deep Learning and has led research on generative speech models—normalizing flows and diffusion approaches—to improve found-data speech generation. Prior roles span Supply Chain science at Amazon, senior data science at McKinsey, and founding technical roles in AdTech and academic labs, giving him a rare mix of product-facing impact and rigorous research. An active contributor to open-source ML tooling, he enhanced the sompy Self-Organizing Map library with core training controls and visualization fixes, reflecting attention to both algorithmic detail and usability. Based in Cambridge, UK, he combines theory (GANs, alternative learning rules) with applied engineering across Python, reinforcement learning, and speech systems. Colleagues describe him as a pragmatic researcher who brings novel ideas from papers into scalable, production-ready ML.
12 years of coding experience
7 years of employment as a software developer
Nanodegree, Deep Reinforcement Learning, Nanodegree, Deep Reinforcement Learning at UdacityEngineer's degree, Ingeniería Técnica de Telecomunicaciones Especialidad Sistemas Electrónicos, 7.48 out of 10, Engineer's degree, Ingeniería Técnica de Telecomunicaciones Especialidad Sistemas Electrónicos, 7.48 out of 10 at Universidad de ValenciaDoctor of Philosophy (PhD), Deep Learning, Doctor of Philosophy (PhD), Deep Learning at Universitat de ValènciaMaster of Computer Applications (MCA), Lenguajes y sistemas informáticos, Master of Computer Applications (MCA), Lenguajes y sistemas informáticos at Universidad Nacional de Educación a Distancia - U.N.E.D.Machine Learning, Andrew ng., 10 out of 10, Machine Learning, Andrew ng., 10 out of 10 at Stanford University
English, Spanish, Spanish
Stackoverflow
2,072reputation
139kreached
96answers
10questions
pandas
top-5%
python
top-5%
Github Skills (16)
data-visualizations10
machine-learning10
data-visualization10
data-visualisation10
python10
numpy9
matplotlib9
pandas9
boxplot6
pytorch6
deep-learning6
time-series6
tensorflow6
batch-normalization6
dataframe6
Programming languages (12)
Github contributions (5)
sevamoo/SOMPY
Sep 2016 - Oct 2018
A Python Library for Self Organizing Map (SOM)
Role in this project:
Data Scientist
Data ScientistContributions:15 commits, 13 PRs, 18 comments in 2 years
Contributions summary:Iván primarily contributed to the `sompy` library, a Python library for Self Organizing Maps. Their work involved fixing a matplotlib function call typo in visualization code. The user added new parameters to control the training phase lengths and radii within the core SOM training functionality and implemented functions for topographic error calculation and BMU finding. Furthermore, the user added functionality for plotting BMU hits and denormalizing the codebook during component map visualization.
python-librarypythonmapsomorganizing
ivallesp/papers
Jan 2019 - May 2022
Contributions:133 commits, 144 pushes in 3 years 3 months
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