Dave Dopson

ML Algorithms Researcher at Google

New York, New York, United States
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Summary

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Rockstar
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Dave Dopson is an ML algorithms researcher and engineering leader with 14 years of experience building large-scale retrieval, serving, and infrastructure systems at Google and prior cloud and platform roles. He architected Google's billions-scale embedding retrieval database and built TPU-optimized distributed K-Means for billion-cluster training, then transitioned those systems into production while later leading modeling and quality efforts for Search retrieval. His background spans full-stack engineering, low-latency distributed services, and front-end performance innovations from startups to acquisitions, and he contributes to open-source tooling for headless browser testing and JSON/JS CLI utilities. Comfortable bridging research and production, he combines deep algorithmic insight with hands-on systems design and capacity planning, and he has a history of shipping pragmatic, performance-critical solutions that scale.
code14 years of coding experience
job6 years of employment as a software developer
bookMasters Computer Science, Masters Computer Science at Massachusetts Institute of Technology
bookWestminster
bookStack Overflow
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Stackoverflow

Stats
42,170reputation
9.2mreached
106answers
23questions
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unix
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mysql
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macros
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java
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amazon-ec2
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Github Skills (37)

json10
javascript10
coffeescript10
formatting10
v810
text-formatting10
amazon-web-services10
indexing10
headless-browser10
browser-automation10
amazon-ec210
nodejs10
mysql9
testing9
unix9

Programming languages (9)

TypeScriptJavaShellC++Objective-C++JavaScriptGoRuby

Github contributions (5)

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ddopson/underscore-cli

May 2012 - Nov 2020

Command-line utility-belt for hacking JSON and Javascript.
Role in this project:
userFull-stack Developer
Contributions:1 review, 104 commits, 10 PRs in 8 years 7 months
Contributions summary:Dave primarily worked on enhancing and refactoring the `underscore-cli` project, a command-line utility for manipulating JSON and Javascript. Their commits centered around creating a new formatter, evidenced by changes in `lib/util.js` and `inspect-test.js`, indicating an effort to improve the project's core functionality for data inspection and presentation. These changes involved significant refactoring of existing code and the introduction of new formatting options and logic.
command-line-toolbeltjavascriptcommand-line-utilityjq
assaf/zombie

Aug 2012 - Nov 2012

Insanely fast, full-stack, headless browser testing using node.js
Role in this project:
userFull-stack Developer
Contributions:5 commits in 2 months
Contributions summary:Dave primarily contributed to bug fixes and feature enhancements within the project. They implemented `Node.contains` functionality and addressed a critical bug related to `window.postMessage` in the sandboxed environment. Furthermore, the user added tests to cover relative path linked resources after redirects and HTML forms post-redirect. Their work primarily focused on JavaScript/CoffeeScript, dealing with browser behavior and web page interactions within a headless browser testing environment.
headless-browserprotractorbrowserjsdomnode-js
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Dave Dopson - ML Algorithms Researcher at Google