Luis Sánchez
Web UI Developer, Architect at Globant
New Albany, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolLuis Sánchez is a Web UI developer and architect with 12 years in software engineering and nine years focused on front-end design and building responsive web applications. He leads UI teams at Globant, architecting and migrating data-heavy dashboards from Angular to modern React and Redux while designing hybrid mobile experiences. Known for clean, testable code and pragmatic architecture, he has deep hands-on experience across HTML5, CSS3, SASS/BEM, PhoneGap and React Native. Unusually for a front-end specialist, he contributes to high-profile open-source ML projects—working on TensorFlow runtime and sparse-tensor features and improving XLA compiler numeric support—bringing low-level performance and ML insight to UI and system design. Based in New Albany, Ohio, he pairs product-focused engineering with practical open-source contributions that bridge UI and ML performance.
13 years of coding experience
8 years of employment as a software developer
Ingeniero en Sistemas Computacionales, User Interface Design, Ingeniero en Sistemas Computacionales, User Interface Design at ITESM
Spanish, English
Github Skills (22)
c-language10
lib10
float3210
integrate10
gpu-programming10
sparse-matrix10
integrations10
tensorflow210
eigen10
tensorflow10
compiler10
floating-point10
sparse-data10
c-programming-language10
compilers10
Programming languages (10)
Github contributions (5)
openxla/xla
May 2021 - Jan 2023
A machine learning compiler for GPUs, CPUs, and ML accelerators
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 12 commits, 17 comments in 1 year 8 months
Contributions summary:Luis made several significant contributions to the XLA compiler, primarily focusing on improving its support for numerical computation. Their work included refactoring code related to half-precision and bfloat16 data types, optimizing floating-point operations, and fixing rounding edge cases within the compiler. They also addressed platform-specific dependencies and refactored build rules for custom floating-point types, contributing to the overall efficiency and maintainability of the codebase.
compilercommunity-drivenmachine-learningmodular
tensorflow/tensorflow
May 2021 - Jan 2023
An Open Source Machine Learning Framework for Everyone
Role in this project:ML Engineer
ML EngineerContributions:707 reviews, 287 commits, 33 PRs in 1 year 8 months
Contributions summary:Luis's contributions focused on enhancing the TensorFlow library's functionality related to sparse tensors. Specifically, the user updated and extended the documentation for the `tf.sparse.transpose` operation, implementing features for matrix-vector multiplication and enabling operations such as a batch-based conversion and validation for out of bound indices, This also involved incorporating int4 support, indicating a focus on improving and optimizing core sparse tensor functionality, and adding support for int4 tensor.
pythondata-sciencedeep-learningmlmachine-learning
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