Alfonso De Corral
Chief Scientist at passby.com
Spain
Summary
🤩
Rockstar🎓
Top SchoolAlfonso De Corral is a Chief Scientist and AI leader with seven years of experience building production-ready machine learning products, currently shaping AI strategy and delivery at passby.com. With a strong mathematical and engineering foundation (MSc in Control Systems, degrees in Aerospace and Mathematics), he blends rigorous modelling—nonlinear control, time-series and spatio-temporal methods—with hands-on implementation of neural and probabilistic systems. He contributed to the NeuralProphet forecasting library by improving multi-series prediction, adding network-visualization tutorials, and implementing a global-local approach to trends and seasonality, reflecting an emphasis on interpretable, performant models. His background in aerospace avionics and drone dynamics informs a disciplined, systems-level approach to AI product design and anomaly detection. Always learning and collaborative, he moves fluidly between research, engineering, and product to turn complex mathematical ideas into deployable solutions for retail and real-estate analytics.
7 years of coding experience
3 years of employment as a software developer
MSc Control Systems (90 ECTS), Engineering, MSc Control Systems (90 ECTS), Engineering at Imperial College LondonBachelor of Engineering - BE, Aerospace Engineering, Bachelor of Engineering - BE, Aerospace Engineering at University of GlasgowCoding Bootcamp in Barcelona, Coding Bootcamp in Barcelona at Le WagonBachelors's Degree in Aerospace Engineering (240 ECTS), Bachelors's Degree in Aerospace Engineering (240 ECTS) at Universidad Politécnica de MadridDegree in Mathematics (240ECTS) - Part Time, Degree in Mathematics (240ECTS) - Part Time at Universidad Nacional de Educación a Distancia - U.N.E.D.
Spanish, English
Github Skills (12)
neural-network10
forecasting10
machine-learning10
pytorch10
time-series10
forecast10
python10
visualizations9
autoregressive-models9
visualization9
deep-learning9
vector-autoregression9
Programming languages (3)
Github contributions (5)
ourownstory/neural_prophet
Jul 2022 - Jan 2023
NeuralProphet: A simple forecasting package
Role in this project:
ML Engineer
ML EngineerContributions:20 reviews, 66 commits, 8 PRs in 6 months
Contributions summary:Alfonso contributed to the development of a forecasting package by adding network visualization tutorials to aid in understanding the model's architecture. They implemented a global-local modeling approach for trends and seasonality. The user focused on improving model's performance by fixing issues with the predict method for Multiple Time Series, and testing various global/local configuration.
forecastingneuralprophetpythonforecasttime-series
alfonsogarciadecorral/Houseo
Nov 2018 - Mar 2019
Contributions:51 PRs, 40 pushes, 25 branches in 3 months
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