Paul Dix
Cofounder And CTO at NYC Machine Learning Meetup
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Dix is a seasoned technology leader, cofounder and CTO with 17+ years building scalable web and distributed systems, best known for founding InfluxData and creating the open-source time series database InfluxDB. He blends hands-on backend engineering—ranging from high-throughput data ingestion and API design to UI work on Chronograf—with executive experience raising institutional funding and navigating Y Combinator. A Columbia CS graduate who studied machine learning and information retrieval, he also runs the NYC Machine Learning meetup he founded, authored a book on service-oriented Rails design, and produced big-data instructional content. His early roots in Ruby on Rails, contributions to prominent gems like Typhoeus and Feedjira, and production experience with systems handling thousands of writes per second illustrate both breadth and depth across languages and stacks. Known for turning research interests into practical products, he pairs startup grit with a proven track record of shipping reliable infrastructure at scale.
17 years of coding experience
9 years of employment as a software developer
BS Computer Science, BS Computer Science at Columbia University
Stackoverflow
2,007reputation
108kreached
14answers
0questions
database
top-5%
subdomain
top-5%
prometheus
top-1%
Github Skills (39)
atom-editor10
apim10
rss10
javascript10
postgresql10
back-end-development10
api-design10
rspec10
integrations10
request-handler10
ruby10
feedparser10
kapacitor10
go10
prometheus10
Programming languages (15)
Github contributions (5)
feedjira/feedjira
Jan 2009 - Oct 2013
A feed parsing library
Role in this project:
Backend Developer
Backend DeveloperContributions:113 commits in 4 years 9 months
Contributions summary:Paul contributed significantly to the development of the feed parsing library. They added the core feed class and implemented the logic to determine and handle different feed types such as Atom, AtomFeedBurner, RSS, and RDF. The user also wrote specs for these different feed types, and implemented the parsing for atom, feedburner atom, RDF, and RSS feeds, enabling the extraction of key feed attributes such as title, URL, and entries.
rssparsingrss-parserfeedparser
influxdata/influxdb
Sep 2013 - Jan 2019
Scalable datastore for metrics, events, and real-time analytics
Role in this project:Back-end Developer
Back-end DeveloperContributions:464 reviews, 937 commits, 366 PRs in 5 years 4 months
Contributions summary:Paul primarily contributed to the back-end functionality and design of the InfluxDB project. The commits involved modifications to the core data storage and retrieval, including the implementation and testing of the data ingestion pipeline. Further, changes to the HTTP request handlers involved adjustments to enhance the user's experience of how data is read and retrieved from the back end, improving query efficiency. The user's work showcases a strong focus on data management and API design.
real-time-analyticsscalablereactanalyticsevents
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