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Brian Connelly

Staff Data Scientist, RunPod
Seattle, Washington,United States
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Brian Connelly's Overview

Total Experience31 years
CompanyRunPod
CountryUnited States

Brian Connelly is an accomplished Software Engineering Manager with over 15 years of experience in leading high-performing agile teams to design, develop, and deploy scalable, enterprise-grade software solutions. He possesses a strong background in full-stack development, cloud architecture (AWS, Azure), and DevOps practices. Brian is passionate about fostering a collaborative and innovative engineering culture, mentoring engineers, and aligning technology strategy with business objectives. He has a proven ability to manage complex projects from conception to launch, ensuring on-time delivery and high-quality standards. His expertise spans across various domains including SaaS, fintech, and e-commerce.

Professional Summary

Brian Connelly's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

RunPod - Staff Data Scientist (2025 to Present)
Ookla - Vice President of Data Science (2023 to 2025)
University of Washington - Postdoctoral Research Fellow (2012 to 2017)
Michigan State University - Graduate Research Assistant (2003 to 2012)
NITCO - Software Engineer (2002 to 2003)
Purdue University - Teaching Assistant (1999 to 2002)
Intel Corporation - Software Engineer (2000 to 2000)

Notable Achievements

Scaled Engineering Team by 150%

Successfully grew the engineering department from 10 to 25 engineers within two years, while improving team velocity and maintaining a high retention rate by implementing effective mentorship programs and career development paths.

Led Cloud Migration Initiative

Orchestrated the migration of a monolithic legacy application to a microservices architecture on AWS, resulting in a 40% reduction in operational costs and a 60% improvement in system uptime and scalability.

Innovation in Product Development

Championed and delivered a new flagship product feature using machine learning, which increased user engagement by 25% and contributed to a 10% growth in annual recurring revenue (ARR).

Published Author & Conference Speaker

Authored a well-received book on 'Modern DevOps Practices' and has been a featured speaker at several international technology conferences, sharing insights on agile methodologies and cloud-native development.

Educational Background

Doctor of Philosophy (Ph.D.), Computer Science

Michigan State University

Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology

Michigan State University

Master’s Degree, Computer Science

Michigan State University

Bachelor’s Degree, Computer Science

Purdue University

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Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

RunPod
Total employees28
HeadquartersPhiladelphia
Founded2020

RunPod is a cloud computing platform specializing in providing affordable and scalable GPU resources for AI and machine learning workloads. It offers serverless GPU instances, on-demand GPU rentals, and persistent storage solutions, enabling developers and researchers to train and deploy demanding AI models without the high costs associated with traditional cloud providers. RunPod aims to democratize access to high-performance computing for individuals and businesses of all sizes.

RunPod Funding Information
$21.6M - Total Funding Raised
$20M - Most recent funding amount
2 - Number of funding rounds
Jan 24, 2024 - Latest funding round
Lead Investors:
Intel Capital
Dell Technologies Capital
Gradient Ventures
Julien Chaumond
Nat Friedman

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