Levente Szamosi
Software Engineer at Alpaca
Budapest, Hungary
Summary
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Rockstar🎓
Top SchoolLevente Szamosi is a software engineer based in Budapest with 11 years of experience building backend systems for data-intensive applications. Currently at Alpaca, he focuses on high-performance time-series data ingestion and backend reliability, contributing to the notable open-source marketstore project used for financial timeseries. His background spans startups and enterprise data platforms—including Cloudera and Konstruktor Online—bringing practical expertise in SQL, API integrations, and backend refactoring. He has hands-on experience optimizing data backfilling, improving API call handling (notably Polygon.io integration), and resolving subtle data-consistency issues. Levente combines a strong computer engineering foundation from Budapest University of Technology and Economics with a pragmatic approach to shipping maintainable, efficient systems. Colleagues find him dependable for turning messy data workflows into robust, testable services.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Engineering, 4, Bachelor's degree, Computer Engineering, 4 at Budapest University of Technology and Economics
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
golang10
apim10
time-series10
go10
api10
database9
concurrency9
databases9
Programming languages (1)
Github contributions (3)
alpacahq/marketstore
Oct 2020 - Nov 2020
DataFrame Server for Financial Timeseries Data
Role in this project:
Backend Developer
Backend DeveloperContributions:3 reviews, 10 commits, 3 PRs in 1 month
Contributions summary:Levente primarily contributed to the backend functionality of the `marketstore` repository, which focuses on time-series data for financial analysis. Their commits involve optimizing data backfilling processes, fixing inconsistencies in data handling, and refactoring code for improved efficiency. Furthermore, the user was involved in the development and maintenance of the Polygon.io API integration, including improvements to API call handling and symbol retrieval for data ingestion.
pythonhuobifinancial-analysisforex-tradingfinancial-timeseries-data
oboforty/phoebe
Mar 2015 - May 2015
Contributions:61 pushes in 1 month
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