Tibor Kiss
Founder at Deltaray Research
Budapest, Hungary
Summary
🤩
Rockstar🎓
Top SchoolTibor Kiss is a seasoned software leader and founder with 13 years of experience building data-intensive systems, trading infrastructure, and cloud-native platforms from Budapest. He founded Deltaray Research to develop an advanced option backtester and nowcasting libraries that combine statistical rigor and Monte Carlo methods to reduce overfitting in financial models. Previously he led engineering and site-building efforts for fintech and data companies including Alpaca and Freetrade, and managed streaming and test-infrastructure teams at Cloudera after Hortonworks. Tibor’s hands-on background spans performance-critical systems at IBM and GE to production data pipelines and back-end contributions to prominent open-source projects like Apache Beam and Alpaca’s marketstore. He blends technical depth in distributed systems, analytics and low-latency data ingestion with practical leadership in hiring and scaling engineering teams. An intriguing detail: he pairs algorithmic trading research with production engineering, shipping both research-grade simulation tools and robust API/data infrastructure.
13 years of coding experience
16 years of employment as a software developer
Bachelor’s Degree, Bachelor’s Degree at College of Dunaujvaros
English
Github Skills (23)
data-pipelines10
python10
apidoc10
data-ingestion10
go10
api10
data-pipeline10
apache-beam10
gzip9
apim8
golang8
api-design8
trading8
databases7
time-series7
Programming languages (14)
Github contributions (5)
alpacahq/marketstore
Jan 2020 - Nov 2020
DataFrame Server for Financial Timeseries Data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 releases, 87 reviews, 55 commits in 10 months
Contributions summary:Tibor contributed to the back-end functionality of the `marketstore` repository. Their work focused on enhancing the data ingestion pipeline, specifically for tick data from the Polygon API. They implemented features to convert tick data into bars, incorporating exchange filtering and condition-based data aggregation. Additionally, they refactored the backfill process, making it more flexible and configurable, while adding the ability to ingest data without writing.
pythonhuobifinancial-analysisforex-tradingfinancial-timeseries-data
apache/beam
Feb 2017 - Apr 2017
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:Back-end Developer
Back-end DeveloperContributions:12 commits, 12 PRs, 71 comments in 2 months
Contributions summary:Tibor primarily contributed to the Python SDK of the Apache Beam project, focusing on bug fixes and improvements within the codebase. Their work involved addressing issues in areas such as type hinting, docstring accuracy, and reference resolution. Furthermore, the user also contributed to the build process by detecting supported Python and pip executables, and made filesystem improvements.
golangpythonstreaming-databeambatch
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.