William Saunders is a Systems Implementation Engineer with 11 years in technology and a strong foundation in customer-first IT support and systems administration. He has hands-on experience managing Mac fleets with Kandji, building Okta integrations with custom Python and Bash tooling, and administering cloud productivity platforms like Google Workspace and Office 365. Comfortable across desktop, mobility, and enterprise projects, he has led lifecycle/asset management, Windows migrations, and pandemic-era BCP device deployments. Outside day-to-day ops, he contributed to the high-profile BIG-bench repository by developing forecasting subquestion tasks and evaluation logic, demonstrating an applied interest in ML benchmarking. Based in Dayton, Ohio, he’s pursuing a Cloud Computing CS degree while translating service-oriented values into durable, secure workplace systems.
11 years of coding experience
1 year of employment as a software developer
Bachelor's, Computer Science (Cloud Computing), Bachelor's, Computer Science (Cloud Computing) at Western Governors University
General Education Diploma, General Education Diploma at Centerville High School
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Role in this project:
ML Engineer
Contributions:4 reviews, 17 commits, 3 PRs in 3 months
Contributions summary:William primarily contributed to the `big-bench` repository by developing and refining a task related to generating subquestions for forecasting problems. Their work involved writing Python code to define the task, incorporating example prompts, and implementing the evaluation logic using the `bigbench.api` framework. The user also addressed bugs, optimized the evaluation process, and incorporated features like perplexity calculations. Furthermore, they were involved in creating and adjusting prompt examples.
Contributions:3 commits, 1 push, 1 branch in 1 year 10 months
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