Domino Valdano
Senior Software Engineer at Chainlink Labs
Oakland, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDomino Valdano is a Senior Software Engineer in Oakland with eight years of professional experience building scalable back-end systems and in-database analytics. Currently at Chainlink Labs, he focuses on robust oracle node functionality and hardening distributed workflows, complementing earlier work as a Staff/Principal engineer on Greenplum and Apache MADlib where he led releases and in-database deep learning features. He blends systems-level C/C++ and Go expertise with Python data-science tooling, having contributed deep learning helpers and refactors to Apache MADlib and fixed subtle race conditions and test coverage in the Chainlink node. Domino’s background spans startups to enterprise—ranging from building core collaborative browsing engines and database accelerators to contributing protocol-level patches for Ethereum clients—revealing a comfort with both product-facing services and low-level infrastructure. An Apache committer and former academic physicist, he brings rigorous debugging instincts and a researcher's attention to correctness to production systems. He’s equally at home optimizing query executors as he is writing unit tests that prevent rare, production-breaking edge cases.
8 years of coding experience
20 years of employment as a software developer
BS Computer Engineering Physics, BS Computer Engineering Physics at Georgia Institute of TechnologyUniversity of California Santa Cruz
Github Skills (25)
postgresql10
back-end-development10
python10
testing10
evm10
machine-learning10
virtual-machine10
keras10
go10
deep-learning10
tensorflow10
blockchain10
oracles9
ropc9
unit-testing9
Programming languages (13)
Github contributions (5)
apache/madlib
Mar 2019 - Oct 2021
Mirror of Apache MADlib
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:73 reviews, 47 commits, 51 PRs in 2 years 7 months
Contributions summary:Domino primarily contributed to the deep learning module within the Apache MADlib repository. They introduced new helper functions for managing Keras models and added unit tests to validate the output of Keras predictions. The user enhanced the functionality by integrating features such as including new columns in the fit output summary table and refactoring the computation of images per segment, addressing prior issues related to averaging weights, loss, and accuracy. They also refactored the evaluate function, and updated the code to prevent crashing on the segments.
javaapachemadlib
smartcontractkit/chainlink
Apr 2022 - Jan 2023
node of the decentralized oracle network, bridging on and off-chain computation
Role in this project:Back-end Developer
Back-end DeveloperContributions:644 reviews, 73 commits, 226 PRs in 9 months
Contributions summary:Domino primarily contributed to the back-end development aspects of the Chainlink project. They focused on bug fixes, specifically addressing a race condition in node lifecycle tests. They also added comprehensive testing for send-only nodes and implemented new tests for other features, indicating a focus on improving code quality and functionality. Their work touched on core functionalities like sending transactions, batch call context, and implementing filters for the log poller, which are all crucial components in an oracle network.
golangcomputationethereumblockchaindecentralized
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