Karolis Gudiskis
Head Of Research AI at Euromonitor International
Vilnius, Vilnius County, Lithuania
Summary
🤩
Rockstar🎓
Top SchoolKarolis Gudiskis is Head of Research AI at Euromonitor International with over a decade of experience turning data into actionable insight and leading cross-functional teams. He blends a strong statistical and economics background (Master’s in Economic Analysis and Planning) with hands-on engineering skills in Python, R, SQL, Docker and modern Gen-AI techniques like LLMs and RAG to deliver productivity- and profit-focused AI roadmaps. PMP-certified, he keeps projects on schedule while ensuring models are safe, fair, and explainable, and he scales impact by coaching four global product managers. His open-source contribution to the popular Dozer project demonstrates practical backend experience in real-time data ingestion, Postgres logical replication, and type conversions—an uncommon mix of research leadership and systems-level engineering. Based in Vilnius, he prioritizes quality over quantity and a people-first approach to making data useful.
12 years of coding experience
10 years of employment as a software developer
Master's Degree Economic analysis and planning, Master's Degree Economic analysis and planning at Vilniaus universitetas / Vilnius University
Lithuanian, English
Github Skills (12)
databases10
rust10
postgresql10
data-pipelines10
data-pipeline10
replication10
relational-databases10
sql-database10
database10
streaming9
etl9
sql8
Programming languages (10)
Github contributions (5)
getdozer/dozer
Sep 2022 - Mar 2023
Dozer is a real-time data movement tool that leverages CDC from various sources and moves data into various sinks.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:179 reviews, 119 commits, 287 PRs in 6 months
Contributions summary:Karolis implemented operation synchronization within the Dozer project, focusing on the ingestion of data from a PostgreSQL source. Their work involved modifications to the PostgreSQL connector, including the implementation of a `Mapper` struct to handle and process logical replication messages like INSERT, UPDATE, and DELETE operations. Additionally, the user worked on implementing keep-alive functionality and type conversion. They also worked on type conversion and data transformations related to Postgres logical replication.
realtimedatareal-time-datagrpcreal-time
karolisg/dozer
Jan 2023 - Mar 2023
Open-source platform to build, publish and manage blazing-fast real-time data APIs in minutes.
Contributions:75 commits, 318 pushes, 186 branches in 2 months
publishapiblazingreal-time-datablazing-fast
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