Eric Hulburd - Lead MLOps Engineer at Rigetti Computing

Eric Hulburd

Lead MLOps Engineer at Rigetti Computing

Berkeley, California, United States

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Eric Hulburd is a Lead MLOps Engineer in Berkeley with 12 years of experience applying classical ML to improve quantum hardware performance and building the data systems that enable that research. He blends full-stack engineering, cloud authorization/authentication (gRPC, Casbin, OpenStack, AWS), and data platform work to deliver production-ready observability, BI, and research tooling. At Rigetti he moved from implementing secure cloud services to leading MLOps for quantum ML, drawing on a background that includes Rails-backed carbon-footprint analytics and GreenButton data parsing. An active open-source contributor, he has improved front-end benchmarking by integrating Dioxus into the popular js-framework-benchmark and contributed backend work to Rigetti’s pyQuil quantum SDK. With advanced training in data science from UC Berkeley and a humanities-informed Master’s from Stanford, he pairs technical depth with cross-disciplinary thinking and a demonstrated knack for shipping robust systems under ambiguous research constraints.

12 years of coding experience

8 years of employment as a software developer

Master's degree, Data Science, Master's degree, Data Science at UC Berkeley School of Information

Bachelor of Science, Environmental Engineering, Bachelor of Science, Environmental Engineering at Stanford University

English, Spanish, Portuguese

Github Skills (15)

component-development10

quantum-computing10

web-framework10

javascript10

frontend10

quil10

web-frontend10

python10

pytest9

benchmark9

webassembly9

benchmarking9

api8

rust8

apidoc8

Programming languages (16)

JavaC++RustGoCommon LispJupyter NotebookKotlinTypeScript

Github contributions (5)

rigetti/pyquil

Dec 2019 - May 2022

A Python library for quantum programming using Quil.

Role in this project:

Backend Developer

Contributions:46 reviews, 25 commits, 34 PRs in 2 years 5 months

Contributions summary:Eric primarily contributed to the backend of the pyQuil library, focusing on the integration and management of the QCS ISA, along with improvements to configuration and error handling. Their work included refactoring ISA management, integrating the new QCS ISA, and ensuring accurate gate information. Additionally, the user made updates to testing infrastructure, as well as improvements to the API to address noisy QPUs.

python-librarypythonquantum-computingquantumquantum-programming

krausest/js-framework-benchmark

Jun 2022 - Jun 2022

A comparison of the performance of a few popular javascript frameworks

Role in this project:

Front-end Developer

Contributions:5 commits in 25 days

Contributions summary:Eric's primary contribution involves integrating the Dioxus framework into the js-framework-benchmark repository, specifically focusing on the keyed implementation. They added a new Dioxus framework and included initial code. The user further updated the Dioxus implementation with build optimizations and fixed keying issues within the row component. These changes suggest a focus on component implementation and performance improvements within the context of a front-end benchmarking project.

benchmarkingv8-javascript-enginejavascriptcomparisonframework

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