Michael Quinn
Engineering Manager at Delphos Labs
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Quinn is an Engineering Manager based in Los Angeles with 11 years of experience turning data science research into production-grade systems and readable software. He leads teams and builds tooling that make complex code and models legible, most recently overseeing analytics and engineering at Delphos Labs after senior data science roles at Google. His background blends rigorous statistics (MS, UIUC) with product-minded engineering—contributions to well-known R projects like purrr, lintr, and skimr show hands-on work improving functional utilities, static analysis tests, and summary-statistics APIs. Michael’s career spans quantitative roles in tech and insurance as well as strategic and communications positions internationally, reflecting unusual fluency in both technical depth and stakeholder-facing storytelling. He’s equally comfortable refining recursive folding functions in open-source libraries as he is coaching teams to ship reliable, auditable systems.
11 years of coding experience
11 years of employment as a software developer
M.B.A. Finance, M.B.A. Finance at KIMEP UniversityMaster of Science (MS) Statistics, Master of Science (MS) Statistics at University of Illinois Urbana-ChampaignB.A. Literature, B.A. Literature at Yale University
English, Russian, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
data-analysis10
linter10
static-code-analysis10
functional-programming10
functional-programming-language10
tidyverse10
r10
testing10
algorithms9
test-automation9
dplyr9
algorithm9
Programming languages (14)
Github contributions (5)
ropensci/skimr
May 2017 - Jan 2023
A frictionless, pipeable approach to dealing with summary statistics
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:2 releases, 8 reviews, 544 commits in 5 years 8 months
Contributions summary:Michael primarily contributed to developing the summary statistics functionality for vectors and data frames within the `skimr` package. Their work involved creating initial function skeletons, defining and implementing summary statistic functions, and adding tests for numeric, character, and factor vectors. The contributions included refactoring the internal API for consistent data type handling and improving the output formatting for better usability.
r-packagestatisticsunconf17data-scienceapproach
r-lib/lintr
Nov 2019 - Dec 2020
Static Code Analysis for R
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:1 review, 8 commits, 3 PRs in 1 year 1 month
Contributions summary:Michael primarily focused on improving the `lintr` project's test suite. Their contributions included adding new tests to verify the functionality of the `seq_linter`, specifically addressing the linting of `dim()` expressions and ensuring correct behavior with both integer and integer-literal inputs. They also made minor modifications to the existing tests for object names and unneeded concatenations, demonstrating a focus on test coverage and code quality. These changes enhance the reliability of the static code analysis tool.
linterstatic-code-analysiscode-analysisr
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