Sho Arora
Staff Research Engineer at Google DeepMind
Shibuya, Japan
Summary
👤
Senior🎓
Top SchoolSho Arora is a Staff Research Engineer with a decade of experience building and deploying large language and audio models, currently at Google DeepMind. Based in the Bay Area with roots in Japan and Hawaii, he blends ML research and product-minded engineering to focus on evaluation, data quality, and maximizing end-user value. His background in multimodal and multitask representation learning spans industry work at Mercari US and DeepMind Applied and interdisciplinary AI/HCI research from Stanford, where he contributed to datasets and human-in-the-loop collection systems. He also has hands-on contributions to educational open-source projects like StanfordVL/CS131_release, reflecting a commitment to practical teaching and reproducible vision research.
10 years of coding experience
9 years of employment as a software developer
High School, High School at Punahou SchoolMaster's degree, Computer Science, Master's degree, Computer Science at Stanford University
Japanese, English
Github Skills (8)
convolution10
computer-vision10
jupyter-notebook10
scikit-image10
edge-detection10
python10
image-processing10
numpy10
Programming languages (4)
Github contributions (5)
StanfordVL/CS131_release
Sep 2018 - Nov 2018
Released assignments for the Stanford's CS131 course on Computer Vision.
Role in this project:
Data Scientist
Data ScientistContributions:20 commits, 15 pushes, 2 comments in 2 months
Contributions summary:Sho appears to be working on a computer vision project, likely related to the Stanford CS131 course. Their initial commit releases an assignment (hw1) involving linear filters, convolution, and correlation, implemented in a Jupyter Notebook. Subsequent commits release and fix bugs in assignments related to edge detection (hw2), and panorama stitching (hw3). The user appears to be progressing through the course material and working on the provided assignments.
stanfordpythonvisiondeep-learningcomputer-vision
strategist922/tf-qrnn
Jun 2017 - Jul 2017
Contributions:78 commits in 1 month
quasirecurrent-neural-networksneural-networkstensorflowrecurrent
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