Bogdan Floris
Software Engineer at Google
Bucharest, Romania
Summary
🤩
Rockstar🎓
Top SchoolBogdan Floris is a versatile software engineer with 11 years of experience and a strong track record building high-performance, low-latency systems across fintech and edtech. He combines deep systems-level C++ experience from Bloomberg’s market risk platform with full-stack backend work in Typescript and Python at DataCamp, where he led integration of Julia and drove AI-first features using LLMs. A graduate of the University of Amsterdam (MSc AI) and TU/e (BSc CS), he blends academic rigour with pragmatic production engineering. At Google now, he continues to focus on scalable infrastructure and reliable execution, bringing a habit of end-to-end ownership—from DB schema design to execution libraries. Colleagues know him for tackling complex integrations and for adding pragmatic experimentation capabilities (A/B routing and queuing) that materially improved system resilience and observability.
11 years of coding experience
5 years of employment as a software developer
High School Diploma, Mathematics-Informatics, High School Diploma, Mathematics-Informatics at Colegiul National Sfantul Sava BucurestiBachelor’s Degree, Computer Science and Engineering, Bachelor’s Degree, Computer Science and Engineering at Eindhoven University of TechnologyMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Amsterdam
Romanian, English
Stackoverflow
1reputation
77reached
0answers
1question
Github Skills (33)
kubernetes10
python10
fs10
profiling10
linux8
parse-tree8
auto-generate7
rust6
rust-analyzer6
zig6
plugin6
nlp5
compiler5
natural-language-processing5
toolchain5
Programming languages (11)
Github contributions (5)
BogdanFloris/dotfiles
Oct 2018 - Apr 2025
Contributions:2 PRs, 208 pushes, 1 branch in 6 years 6 months
BogdanFloris/detecting-and-addressing-change
Jan 2020 - Jun 2020
Code for my Master Thesis: How to detect and address changes in machine learning based data pipelines
Contributions:75 commits, 2 PRs, 72 pushes in 5 months
data-pipelinedata-pipelinesmachine-learningconcept-driftembedding-models
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