William Boggs
Staff Platform Engineer
Raleigh-Durham-Chapel Hill Area United States
Summary
🤩
Rockstar🎓
Top SchoolWilliam Boggs is a Staff Platform Engineer with eight years of experience building cloud-native, AI-focused infrastructure and end-to-end software solutions. He blends full-stack development and DevOps expertise—having architected Golang microservices, deployed multi-cluster Kubernetes environments on-prem and in public clouds, and led migrations from EC2 to EKS—to deliver scalable ML and managed-service platforms. At Determined AI/HPE he drove SaaS AI workflows, GreenLake integrations, and SBOM/security practices, and now focuses on the transformative potential of AI at Fiddler AI. A practical mentor and technical lead, he has hands-on experience creating CI/CD, monitoring, and deployment automation and even helped generate 150M+ rows of trading data for AI training in an open project. Based in the Raleigh-Durham area, he pairs systems-level curiosity with a track record of moving research-grade ML tooling into production.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science Computer Engineering, Bachelor of Science Computer Engineering at Penn State University
Github Skills (14)
sh10
script10
docker10
shell10
dockers10
scripting10
deployment-automation10
cicd9
setuptools9
py9
kubernetes8
kubernetes-pods8
python8
version-control7
Programming languages (4)
Github contributions (5)
AlgoTraders/stock-analysis-engine
Oct 2018 - Nov 2018
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Role in this project:
DevOps Engineer
DevOps EngineerContributions:9 commits, 4 PRs, 1 comment in 14 days
Contributions summary:William primarily focused on infrastructure and deployment aspects of the project. They made changes to shell scripts (`compose/start.sh`, `compose/stop.sh`, `tools/deploy-new-build.sh`) related to environment setup and management, including adjustments for different operating systems and the updating of dependencies. Furthermore, the user bumped the project's version in `setup.py` several times and also integrated zipline support.
yqlpythonbacktesting-trading-strategiescomposetraining
billboggs/stock-analysis-engine
Oct 2018 - Feb 2019
Analyze information about publicly traded companies from Yahoo and IEX Real-Time Price (supported data includes: news, quotes, dividends, daily, intraday, statistics, financials, earnings, options, and more). Once collected the data is archived in s3 (Minio) and automatically cached in Redis.
Contributions:13 pushes, 8 branches in 4 months
pythondividendsearningsquotesminio
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