Daniel Okazaki

Senior Software Engineer at Google

California, United States
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Summary

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Senior
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Top School
Daniel Okazaki is a Senior Software Engineer with nine years of experience building reliable embedded firmware and infrastructure, currently at Google after progressing from Software Engineer to Senior Software Engineer. He has a strong track record at Western Digital designing resilient C-based logging systems, porting platform services to SPDK and Golang, and improving logging redundancy and reliability threefold. Comfortable across low-level firmware, system daemons, and automation, he pairs practical expertise in x86/ARM/emulation environments with scripting and deployment automation in Bash. Based in California and holding both bachelor’s and master’s degrees in Computer Science and Engineering from Santa Clara University, he brings a pragmatic, systems-first approach that consistently improves debuggability and operational robustness. An understated strength is his ability to bridge hardware-proximal firmware work with higher-level REST APIs and tooling, enabling smoother end-to-end developer and customer experiences.
code9 years of coding experience
job5 years of employment as a software developer
bookMaster's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at Santa Clara University
languagesEnglish
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Stackoverflow

Stats
21reputation
461reached
0answers
1question
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Github Skills (7)

git-remote7
dji-sdk6
benchmarking4
blockchain4
testing4
nft4
smart-contracts3

Programming languages (3)

JavaScriptCadencePython

Github contributions (5)

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dtokazaki/NavSense

Jun 2019 - Jun 2020

Navigating while visually impaired is extremely difficult. Without sight, people must rely on their other senses to navigate through life, mainly by way of hearing and touching (with their cane). Nonetheless, these senses can not completely make up for the loss of vision. In this paper, we propose NavSense, an assistive device that supplements existing technology, and improves navigation in day to day life. NavSense provides near real-time object identification and context to the user through auditory feedback. This paper describes the testing procedures used and results gathered while identifying the best components for the system. NavSense is capable of providing accurate results quickly on low cost and energy efficient edge devices.
Contributions:6 commits, 2 PRs, 4 pushes in 1 year
testing
sjpacwa/SBChain

May 2019 - Jun 2020

A blockchain model with a simplified functionality to be used for benchmarking, education, and experimentation.
Contributions:137 commits, 2 PRs, 1 push in 1 year 1 month
benchmarkingblockchain
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