Jeronimo Barois
Machine Learning Engineer at Earth
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolJeronimo Barois is a Machine Learning Engineer based in Berlin with nine years of experience applying data science, deep learning and distributed systems to problems in remote sensing, GIS, NLP, computer vision, ecology and ESG investing. He combines a strong mathematical and computational background from ITAM and an exchange at ANU with hands-on experience building production ML and cloud architectures for agile delivery. His work spans roles from data engineering and consultancy to ML deployments at firms like Blue Orange Digital, Experian and Earth, and earlier projects include UAV autonomy and recommender systems for OpenBlender. He has applied ML to ESG measurement in an industry research internship and built practical tooling such as K-nearest recommender notebooks, reflecting a pragmatic focus on reproducible workflows. Comfortable across research and operational contexts, he brings a distributed-systems mindset to model deployment and data pipelines. Colleagues can expect a blend of rigorous quantitative thinking with practical engineering that targets measurable impact in environmental and investment domains.
9 years of coding experience
1 year of employment as a software developer
Australian National UniversityLicenciatura Matematicas aplicadas, Licenciatura Matematicas aplicadas at Instituto Tecnológico Autónomo de México
Stackoverflow
61reputation
3kreached
1answer
9questions
Github Skills (37)
chatgpt10
python10
typescript10
openai10
generative-ai10
ai10
gemini10
anthropic10
langchain9
spec9
llm9
open-source9
copilot9
pydantic9
gtk8
Programming languages (4)
Github contributions (5)
jeroaranda/jeroaranda.github.io
Oct 2019 - Oct 2020
personal website
Contributions:27 commits, 1 PR, 24 pushes in 1 year
reactnextjstypescript
jeroaranda/frutapublica
Apr 2024 - Dec 2025
Aplicación de streamlit para mapear la fruta pública.
Contributions:2 PRs, 140 pushes, 2 branches in 1 year 7 months
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