Jose Silva
Founder at Oxaala
Uppsala, Sweden
Summary
👤
Senior🎓
Top SchoolJose Silva is a founder and AI specialist with eight years of experience building production ML systems and commercial products at the intersection of geophysics and enterprise software. He leads Oxaala, where he developed Seisbai PRO and OxaGen to deliver high-precision seismic and well-log interpretation for energy customers, and has a track record of translating academic research into industry-ready tools. Holding a PhD in Physics from Uppsala and a postdoc in AI from Linköping, he has published in top venues including Nature and reviews for NeurIPS and CVPR, underscoring a strong research-to-product pipeline. Jose combines full-stack engineering (Python, C#, C++, React) and Azure cloud/ML tooling with product management and grant-backed commercialization experience. He also founded an interactive AI learning platform and holds a CNPq Level 1 research fellowship, signaling both entrepreneurial drive and recognized scientific leadership. An uncommon strength is his ability to architect multi-agent and generative-AI solutions while steering collaborations across academia and industry.
8 years of coding experience
2 years of employment as a software developer
Executive MBA, Project Management, Executive MBA, Project Management at FGV - Fundação Getulio VargasMaster's degree, Physics, Master's degree, Physics at Universidade Federal da BahiaDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Uppsala University
Portuguese, English, Swedish
Github Skills (9)
risk-analysis8
quants8
sentiment-analysis8
pytorch6
machine-learning6
artificial-intelligence6
natural-language-processing6
trading6
time-series5
Programming languages (1)
Github contributions (5)
jseluis/jseluis.github.io
Mar 2018 - May 2021
Contributions:98 pushes, 3 branches in 3 years 2 months
jseluis/artificial_intelligence_for_trading
Apr 2022 - May 2022
Artificial Intelligence for Trading
Contributions:147 commits, 2 PRs, 123 pushes in 7 days
pytorchartificialmachine-learningtradingrisk-analysis
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