Roman Prokofyev
Senior Software Engineer at LGT Capital Partners
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolRoman Prokofyev is a Zurich-based Senior Software Engineer with 14 years of experience delivering robust software across mobility, academia, and finance. He currently drives engineering at LGT Capital Partners, focusing on reliable, scalable systems in a financial context. Previously, as Chief Scientist at FAIRTIQ, he built a precise and battery-efficient mobile localization platform that processes over 30,000 user journeys daily to optimize public transport trips. His research background includes PhD work in computer science at the University of Fribourg on knowledge extraction from unstructured data, including ontology-based entity disambiguation and named entity recognition for scientific literature. He holds MSc and BSc degrees in Applied Physics and Mathematics from MIPT and has completed Leadership Essentials at IMD, underscoring a blend of technical depth and leadership training. Based in Switzerland, he combines hands-on development with architectural leadership to turn complex requirements into scalable production systems.
14 years of coding experience
11 years of employment as a software developer
Leadership Essentials, Leadership Essentials at IMD Business SchoolDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Université de Fribourg/Universität FreiburgMSc, Applied Physics and Mathematics, MSc, Applied Physics and Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
English, French, Russian, German
Stackoverflow
5,661reputation
410kreached
45answers
42questions
django
top-5%
Github Skills (200)
python210
athena10
python10
lda10
rendering-engine10
esbuild-plugin10
javascript10
rendering10
glsl10
core-nlp10
stanford-nlp10
selenium-webdriver10
databricks10
sentiment10
pytorch10
Programming languages (8)
Github contributions (5)
dragoon/starport
Dec 2020 - Jun 2022
Smart home dashboard
Contributions:6 PRs, 195 pushes, 7 branches in 1 year 6 months
raspberry-pihome-dashboardhome-automationhome-assistantdashboard
dragoon/tmd-primer
May 2020 - May 2022
Demonstrating advantages of sequential ML models over traditional ML 🔥
Contributions:183 commits, 16 PRs, 148 pushes in 1 year 11 months
ml-modelstraditionalfeature-extractiondeep-learningmachinelearning
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