Jeremy Lau
Senior Manager, Product And Software at Tricon Residential
Placentia, California, United States
Summary
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Senior🎓
Top SchoolJeremy Lau is a senior product and software manager with 8 years of experience blending technology risk, data analytics, and hands-on engineering to deliver measurable business impact. He has led cross-functional teams to build data products and a proprietary real estate acquisitions platform that processes over 1M properties annually and drove operational improvements like a 3x prepipeline speedup and a 43% reduction in data costs. At KPMG he combined product management, risk governance, and analytics to reduce fraud risk and streamline regulatory reporting, while managing large teams and program finances. Technically fluent, Jeremy contributes to high-profile open-source ML projects such as TensorFlow Runtime and XLA, authoring tutorials and cleanup/refactor work that improve compiler/runtime reliability and developer onboarding. He champions a servant-leader approach—connecting technical feasibility with profitability—and often surfaces risk-focused insights that shape product roadmaps. Based in Placentia, CA, he excels at turning complex data and regulatory constraints into pragmatic, auditable solutions.
8 years of coding experience
5 years of employment as a software developer
High School Diploma, Weighted GPA: 4.56, Rank 1 of 439, High School Diploma, Weighted GPA: 4.56, Rank 1 of 439 at Los Altos High SchoolAssociate in Science, Business Administration, Associate in Science, Business Administration at West Los Angeles CollegeCompleted Coursework - Bachelor of Science, Chemical Engineering, Completed Coursework - Bachelor of Science, Chemical Engineering at University of California, Los AngelesBachelor of Science - BS, Computer Information Systems - Option in Business Systems, Business Systems GPA: 3.9, Bachelor of Science - BS, Computer Information Systems - Option in Business Systems, Business Systems GPA: 3.9 at California State University, Los Angeles - College of Business and Economics
Github Skills (11)
kernel10
xla10
compiler10
c-language10
cprogramming-language10
dataflow10
mlr10
kernel-mode10
build-system9
memory-management9
computer-engineering8
Programming languages (3)
Github contributions (5)
tensorflow/runtime
Apr 2020 - Apr 2021
A performant and modular runtime for TensorFlow
Role in this project:
Back-end Developer
Back-end DeveloperContributions:44 commits, 1 PR, 2 pushes in 11 months
Contributions summary:Jeremy contributed to the TensorFlow runtime by removing unused functions to address compiler warnings, indicating code cleanup and maintenance efforts. They also initiated a TFRT tutorial, showcasing the creation of "hello world" examples in MLIR and custom synchronous kernels, demonstrating the implementation of new functionalities and providing educational resources. Furthermore, the user updated the code to improve compatibility and corrected code for consistency. The user's commits include updating the codebase and internal refactoring.
runtimeperformantmodulartensorflow
openxla/xla
May 2018 - Jul 2018
A machine learning compiler for GPUs, CPUs, and ML accelerators
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits in 2 months
Contributions summary:Jeremy contributed to the XLA compiler by introducing a new base class, `BufferValue`, for `LogicalBuffer` and `HloValue`, facilitating migration efforts. They fixed bugs in `LogicalBuffer::ToString` and `BufferValue::ToProto` to ensure correct behavior and avoid potential issues with missing color settings. Furthermore, the user updated the `HeapSimulator` to leverage `BufferValue` for memory management analysis.
compilercommunity-drivenmachine-learningmodular
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