Eddie Hebert
Lead Software Engineer at Klaviyo
Arlington, Massachusetts, United States
Summary
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RockstarEddie Hebert is a Lead Software Engineer with 15 years of experience, currently driving backend engineering at Klaviyo from Arlington, MA. He specializes in algorithmic trading and high-quality Python back-end systems, contributing notable improvements to well-known open-source projects like Zipline and Catalyst. His work emphasizes maintainability and performance—refactoring bottlenecks, applying PEP-8 discipline, and enhancing event tracking and data retrieval for liquid assets. Eddie combines hands-on coding with engineering leadership, shipping pragmatic fixes that reduce technical debt while enabling robust testing. Colleagues rely on him to turn complex backend challenges into clean, testable implementations.
15 years of coding experience
Github Skills (11)
pandas10
refactoring10
cryptocurrencies10
python10
trading10
algorithmic-trading10
refactor9
performance-optimization9
pep9
zipline8
unit-testing8
Programming languages (6)
Github contributions (5)
quantopian/zipline
Aug 2012 - Jan 2019
Zipline, a Pythonic Algorithmic Trading Library
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 300 commits, 478 PRs in 6 years 5 months
Contributions summary:Eddie primarily contributed to the Zipline algorithmic trading library by implementing and improving backend components. Their work included adding functionality for event handling, removing unused imports, and applying PEP-8 fixes for code style consistency. Additionally, the user refactored the code base to improve performance, specifically addressing bottlenecks related to the use of `ndict` objects and optimizing data retrieval for price information with liquid assets.
algorithmic-trading-libraryalgorithmic-tradingpythontrading-botbacktesting-trading-strategies
scrtlabs/catalyst
Aug 2016 - May 2017
An Algorithmic Trading Library for Crypto-Assets in Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:80 commits in 9 months
Contributions summary:Eddie primarily focused on enhancing the algorithmic trading library's functionality. They added source IDs to events for testing purposes, enabling more robust event tracking. The contributions included removing unused imports, applying PEP-8 formatting for code style consistency, and refactoring code in multiple Python files. These changes demonstrate a focus on code quality, maintainability, and feature enhancements within the trading library.
algorithmic-trading-libraryalgorithmic-tradingpythontrading-botcrypto-assets
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