Dylan Sherry

Co-founder And CTO at Stealth Agentic AI Startup

New York, New York, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Dylan Sherry is a seasoned engineer and founder with 15 years of experience, currently Co-founder and CTO of a stealth agentic AI startup in New York. He led Alteryx’s enterprise AutoML effort—authoring and open-sourcing EvalML, growing the ML org to ~40 engineers and helping the product generate >$1M in year one. At ClosedLoop he brought an LLM- and embedding-powered medical chat app from prototype to the App Store, inventing an automated “LLM as judge” evaluation framework and generating millions of synthetic test examples while standing up safety and human-labeling processes. Dylan combines strategic leadership and team building with hands-on problem solving—he’s comfortable debugging core data stack issues (even rewinding pandas versions to fix tests) and contributing core abstractions like a tuner ABC—and holds an MEng in Computer Science from MIT.
code15 years of coding experience
job14 years of employment as a software developer
bookThe Recurse Center
bookMasters of Engineering Computer Science, Masters of Engineering Computer Science at Massachusetts Institute of Technology
bookNYSC 2008
github-logo-circle

Github Skills (14)

scikit10
pandas10
machine-learning10
data-pipeline10
data-pipelines10
automl10
python10
pipe10
pipeline10
scikit-learn10
testing9
hyperparameter-tuning9
documentations8
documentation8

Programming languages (6)

PowerShellShellSuperColliderCSSJavaScriptPython

Github contributions (5)

github-logo-circle
alteryx/evalml

Jan 2020 - Dec 2022

EvalML is an AutoML library written in python.
Role in this project:
userData Scientist
Contributions:7 releases, 817 reviews, 182 commits in 2 years 10 months
Contributions summary:Dylan primarily contributed to the development and improvement of the EvalML library, focusing on machine learning pipeline components and objective functions. Their work involved rewinding and updating pandas versions to diagnose and resolve testing failures. Additionally, the user removed an unused parameter from the objective class, and added the tuner abstract base class, which included related tests and documentation. The user also contributed to the documentation of the project.
pythondata-sciencemodel-selectionoptimizationmachine-learning
dsherry/6867hw2

Oct 2012 - Oct 2012

Contributions:31 commits in 6 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Dylan Sherry - Co-founder And CTO at Stealth Agentic AI Startup