Florian Philippi
Co-Founder at Data Raum
New York, New York, Luxembourg
Summary
👤
Senior🎓
Top SchoolFlorian Philippi is a data- and AI-focused engineering leader with nine years of experience building automated analytics and ETL systems at scale, most recently co-founding Dataraum to add a context layer that makes LLM-driven enterprise analytics reproducible and auditable. He spent the bulk of his career at Amazon driving data engineering and BI across Global Transportation, where he automated planning workflows, cut manual input and maintenance overhead, and led AI-powered reporting initiatives that boosted analyst productivity. Florian combines strong backend skills (Python, Spark, AWS Lambda/S3/EMR) with product-minded tooling—shipping self-service platforms and multi-agent reporting systems that shrink reporting cycles and surface actionable insights. Based in New York but Luxembourg-born, he blends economics and information engineering training with hands-on data science education, and has a knack for turning messy enterprise data into quantifiable semantic signals rather than black-box outputs.
9 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Information Engineering and Management, Master of Science (M.Sc.), Information Engineering and Management at Karlsruhe Institute of Technology (KIT)university-entrance diploma, university-entrance diploma at Helmholtz-Gymnasium HeidelbergBachelor of Arts (B.A.), Economics, Bachelor of Arts (B.A.), Economics at FAU Erlangen-NürnbergBachelor's degree, Finance, Bachelor's degree, Finance at California State University, FullertonImmersive Data Science course, Immersive Data Science course at Metis
English, German
Github Skills (13)
machine-learning8
pytorch8
python8
tensorflow7
data-science7
deep-learning7
neural-network5
jax4
genetic3
trading2
genetic-algorithm2
gekko1
optimization1
Programming languages (2)
Github contributions (5)
Flowinger/gpucloud
Jun 2017 - Jun 2017
Contributions:10 commits, 9 pushes, 1 branch in 13 days
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