Paul Charles
Full-stack Developer at haddock (YC W22)
Spain
Summary
👤
Senior🎓
Top SchoolPaul Charles is a pragmatic full-stack developer with 9 years of experience building backend services in Python and Java and front-ends in TypeScript, currently shipping at YC-backed haddock from Spain. He has a strong e-commerce pedigree—designing supplier integrations, FastAPI catalog syncs, and Elasticsearch indexing for Bixoto—and enterprise SaaS experience working on Java-based ERP APIs, CI/CD and monitoring at Fitnet Manager. Comfortable across DevOps, databases and search, he pairs hands-on implementation with documentation and testing discipline (JUnit, Jenkins, SonarLint). Earlier work blends research and web dev, including deep-learning sound synthesis and user-facing validation tooling, which reveals a taste for bridging experimental ideas with production systems. Equally at home reading system internals or writing about developer culture, he brings a curious, multidisciplinary perspective to product engineering.
9 years of coding experience
4 years of employment as a software developer
Baccalauréat SSVT Sciences, Baccalauréat SSVT Sciences at Lycée AmpèreMaster of Engineering Computer Science, Master of Engineering Computer Science at ENSEIRB-MATMECAPC* Physique Mathématiques et Chimie, PC* Physique Mathématiques et Chimie at Lycée du Parc
French, English, Spanish, Catalan
Github Skills (6)
spying7
audio3
windows3
python2
python-bindings2
fingerprinting1
Programming languages (3)
Github contributions (5)
paul-florentin-charles/bcn-rainfall-models
Jul 2023 - Mar 2025
A project aiming at delevering tools for visualisation and analysis of Barcelona rainfall data. Data is retrieved from there: https://opendata-ajuntament.barcelona.cat/data/en/dataset/precipitacio-hist-bcn.
Contributions:5 releases, 109 PRs, 347 pushes in 1 year 8 months
barcelonarainfall-datarainfall-prediction
paul-florentin-charles/dereverberation-ml
Mar 2019 - Jul 2020
Research project built during a 5-month internship. It aims at using deep learning to retrieve effects from sets of data. Currently, the neural network model is not up to date but can be found there : https://colab.research.google.com/drive/1rpqljBGP7oN5xEfLN-QTZPH86jnDrrvd.
Contributions:126 commits, 5 PRs, 6 pushes in 1 year 3 months
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