Keith Bourgoin
Head Of AI Engineering at Primary Venture Partners
Melrose, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolKeith Bourgoin is a Head of AI Engineering and seasoned technology leader with 15+ years building high-throughput, data-heavy SaaS and AI-native products across fintech and analytics. He scaled Parse.ly from founding engineer to CTO, architecting real-time systems that processed 100k+ events/sec for customers like Condé Nast and Bloomberg and navigating a strategic acquisition by Automattic. More recently he led Crayon’s AI pivot, shipping LLM-driven features and high-volume extraction pipelines that automated manual workflows, and now drives AI product engineering at Monarch. Equally comfortable in hands-on backend work—contributing to open-source projects like pykafka and streamparse for Python+Storm/Kafka integrations—he blends operational rigor with product-first thinking. Based in Melrose, MA, he advises startups and VCs, and thrives on the messy transitions: early PMF, M&A integration, and AI-native rewrites that reshape data platforms.
15 years of coding experience
21 years of employment as a software developer
altMBAMaster of Science, Computer Science, Master of Science, Computer Science at Case Western Reserve University
Github Skills (11)
kafka10
apache-kafka10
zookeeper10
python10
multithreading9
logging8
sh6
script6
shell6
scripting6
documentation5
Programming languages (8)
Github contributions (5)
Parsely/pykafka
Feb 2013 - Feb 2017
Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:207 commits, 25 PRs, 117 pushes in 4 years
Contributions summary:Keith primarily contributed to the `pykafka` project by fixing bugs and improving the functionality of the Apache Kafka client for Python. Their commits addressed issues related to message decoding, offset handling, and consumer behavior. The user also made adjustments to the logging levels and implemented features to improve the stability and performance of the consumer, specifically for partition management and retries.
apache-kafkapythonkafkac-extension
pystorm/streamparse
Jul 2013 - Oct 2015
Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 release, 44 commits, 16 PRs in 2 years 3 months
Contributions summary:Keith's contributions primarily involve setting up and modifying the codebase for the `pystorm/streamparse` project, which focuses on running Python code within Apache Storm topologies. This is indicated by the addition of setup files, license information, and the modification of core modules such as `ipc.py` and `storm.py`. The user has fixed examples and addressed documentation concerns. The user's changes are in the form of basic modifications to support the underlying framework.
apache-stormclidslpythonstorm
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