Jae Y
Software Engineer, Machine Learning at 구글
Sunnyvale, California, United States
Summary
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Rockstar🎓
Top SchoolJae Y is a machine learning software engineer with seven years of experience building ML systems at Google, Alphabet’s quantum sandbox, and X, the moonshot factory, now focused on CoreML and TensorFlow Lite for mobile, IoT, and quantum deep learning. He blends production-focused engineering—shipping TFLite-convertible speech synthesis and Android examples—with research-caliber contributions to MLIR, BFLOAT16 support, and INT4 dequantization in TensorFlow. His work spans classical and quantum tooling, including performance-minded enhancements to quantum simulators and test automation for TensorFlow Quantum. Comfortable anywhere from low-level compiler integration to on-device model optimizations, he has a track record of adapting complex models for constrained environments. A KAIST-trained electrical engineer, he also translates and documents quantum computing materials, reflecting a knack for making advanced concepts practical and portable. Based in Sunnyvale, he combines Google-scale product experience with moonshot-style experimentation to push ML toward mobile and quantum frontiers.
7 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Electrical Engineering, Master of Science (MS), Electrical Engineering at 한국과학기술원(KAIST)Gyounggi Science High School
Korean, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (30)
unit-testing10
c-language10
mobile-development10
python10
translation10
testing10
machine-learning10
text-to-speech10
speech-synthesis10
cirq10
mlr10
tensorflow10
taco10
android10
quantum-computing10
Programming languages (6)
Github contributions (5)
tensorflow/quantum
Feb 2020 - Jul 2022
An open-source Python framework for hybrid quantum-classical machine learning.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:157 reviews, 172 commits, 90 PRs in 2 years 5 months
Contributions summary:Jae's commits primarily focused on updating and improving existing test assertions within the `tensorflow/quantum` repository. Their work involved refactoring test code by replacing deprecated assertion methods with their more modern counterparts, demonstrating a commitment to code quality and maintainability. The changes were made across various test files, including those related to core operations and utility functions, suggesting a broad impact on testing coverage throughout the project. This indicates a focus on ensuring the reliability and correctness of the TensorFlow Quantum framework.
quantum-computingquantum-algorithmsquantum-classicalmachine-learningprototype
JackHidary/quantumcomputingbook
Jun 2020 - Sep 2020
Companion site for the textbook Quantum Computing: An Applied Approach
Role in this project:Technical Writer
Technical WriterContributions:50 commits, 8 PRs, 3 comments in 2 months
Contributions summary:Jae's commits primarily focus on translating existing code examples and documentation within the `quantumcomputingbook` repository. Their work involves translating Python code snippets and associated comments, as well as modifying and adapting existing documentation to a new language. The translations appear to encompass multiple chapters and code examples related to quantum computing concepts, including Cirq, Qiskit, and Q# implementations.
sycamorequantum-informationprototypeqiskitrigetti
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