Tamás Belinszky
Full Stack Developer at Freelance
Hungary
Summary
👤
Senior🎓
Top SchoolTamás Belinszky is a product-minded full stack developer with 11 years of professional experience and 6+ years focused on building scalable web applications across TypeScript and Python ecosystems. He specializes in cloud-native architectures and automation, delivering secure, cost-optimized solutions on AWS, Supabase and self-hosted environments while integrating AI, ML and workflow automations for international clients. At Apex Lab he built resilient payment microservices, revived a heavily tested serverless app for investor demos, and drove an 80% cost reduction on a smart-home project—demonstrating strong operational troubleshooting and optimization skills. He contributes to open-source data tooling, fixing edge cases in sparklyr related to NA/null handling and improving serialization performance. Comfortable working remotely with distributed teams, he blends product thinking, hands-on engineering and business process experience from ERP projects to e-commerce launches.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Business Informatics Engineer, Bachelor's degree Business Informatics Engineer at Corvinus University of Budapest
Stackoverflow
24,107reputation
1.8mreached
427answers
3questions
plotly
top-5%
r
top-1%
scala
top-5%
pyspark
top-1%
apache-spark
top-1%
dplyr
top-5%
Github Skills (18)
apache-spark10
r10
pyspark10
dataframe10
livy10
scala10
python9
distributed-systems9
ggplot9
subset9
plotly9
dplyr9
rdd6
regex-replace6
median6
Programming languages (8)
Github contributions (5)
sparklyr/sparklyr
Jan 2019 - Jan 2019
R interface for Apache Spark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 1 PR, 1 comment in 1 day
Contributions summary:Tamás primarily focused on fixing issues related to reading `NA` values as strings within the context of the `sparklyr` R interface for Apache Spark. They modified Scala code, specifically in files related to `livy` and the `java` environment, to correctly handle null values. Additionally, the user merged changes related to addressing the `NA` as string issue and incorporated arrow serialization for data processing efficiency.
rsparklyrmachine-learningrstatsspark
mtoto/ufc.stats
Oct 2019 - Nov 2022
UFC Statistics conveniently packaged as a tidy dataframe.
Contributions:74 commits, 54 pushes, 1 branch in 3 years 1 month
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