Vaclav Kosar
Machine Learning Engineer at ScaleVoice⏐Carra AI
Prague, Czechia
Summary
👤
Senior🎓
Top SchoolVaclav Kosar is a machine learning engineer with 11 years of software experience who focuses on driving revenue and cutting costs through production ML and backend systems. He led large-scale, multilingual image-text modeling and feature detection at GLAMI that serves tens of millions of predictions per month, redesigned devops for that project, and co-published the GLAMI-1M dataset and practical notebooks. His background spans Python, Scala/Java backends, Spark/BigQuery pipelines, and NLP/transformer and vision models, informed by earlier work on data lineage tooling (Spline) and enterprise trading systems. Comfortable moving models from research into robust cloud-native production, he combines a physics/math education with hands-on open-source refactoring and performance optimization.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Mathematical Physics, Master's degree, Mathematical Physics at Czech Technical University in PragueUniversité de Montréalmaturita, Digital telecommunication engineering, maturita, Digital telecommunication engineering at SPŠST Panská, Prague
English, Czech, Spanish
Github Skills (12)
data-pipeline10
data-pipelines10
mongodb10
mongodb-database10
scala10
hadoop9
back-end-development9
refactoring9
spark9
big-data9
visualization8
visualizations8
Programming languages (9)
Github contributions (5)
AbsaOSS/spline
Nov 2017 - Apr 2019
Data Lineage Tracking And Visualization Solution
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 263 commits, 38 PRs in 1 year 5 months
Contributions summary:Vaclav primarily focused on refactoring and improving the performance of the data lineage tracking solution. They made code changes to the backend, including refactoring configuration files, and optimizing database queries. A significant portion of their work involved improving Mongo read performance by storing root operation and root dataset, requiring a data migration. They also performed various other refactoring tasks within the codebase.
bigdatalineageemrdata-lineagetracking
vackosar/vackosar.github.io
Jun 2016 - Sep 2024
Contributions:2433 pushes, 2 branches, 1 comment in 8 years 5 months
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