De Wentzel
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDe Wentzel is a business and product professional with seven years of experience spanning management, product management, data analytics, trading, structuring, and quantitative risk management. Based in Seattle and MBA-trained at UC Berkeley Haas, De has launched and grown new business units and products across both banking and technology, often focusing on initiatives that reshape workflows. He combines commercial instincts with quantitative rigor to build and scale offerings, and has hands-on experience improving developer-facing documentation for prominent open-source projects like Chainlink’s docs. Comfortable bridging technical and business teams, he brings a track record of turning complex risk and product requirements into clear, usable solutions. An uncommon strength is his blend of trading/structuring experience with product delivery, which helps him translate market needs into pragmatic technical roadmaps.
7 years of coding experience
Bachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at North-West University/Noordwes-UniversiteitMaster of Business Administration (MBA), Master of Business Administration (MBA) at University of California, Berkeley, Haas School of Business
Github Skills (5)
chainlink10
solidity10
blockchain10
documentation10
html9
Programming languages (5)
Github contributions (5)
smartcontractkit/documentation
Feb 2022 - Oct 2022
https://docs.chain.link The Chainlink developer documentation website for Smart Contract Devs and Node Operators
Role in this project:
Technical Writer
Technical WriterContributions:69 reviews, 12 commits, 14 PRs in 8 months
Contributions summary:De's contributions primarily involve updating and improving the Chainlink documentation website. This is demonstrated through modifications to documentation files, including updates to Solidity code examples and explanations of Chainlink Keepers. Furthermore, the user has also added visual elements, such as logos, to the website, improving user experience and accessibility. The changes reflect a focus on clarifying existing documentation and enhancing the overall presentation.
documentation-websitesmart-contractcontractblockchaindevs
aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
Nov 2018 - Oct 2020
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
Contributions:3 reviews, 159 commits, 7 PRs in 1 year 10 months
pytorchworkshopdeep-learningmachine-learningdeepracer
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