Archit Singhal
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolArchit Singhal is an Applied Scientist in Seattle with nine years of experience building production AI/ML systems at Amazon, where he’s advanced content understanding for Prime Video and now leads age-of-appeal modeling for kids’ content. He combines applied research and software engineering, having designed high-accuracy detectors for sensitive content (nudity/sexuality) and shipped scalable ML solutions across video compliance and classification. Earlier roles at Oracle and research work at Simon Fraser and Purdue give him deep comfort with large datasets, parallel execution, and algorithmic problem-solving. A pragmatic engineer with academic roots from IIT Roorkee and Purdue, he’s known for turning complex research into reliable, production-grade features that directly improve user safety and operational efficiency.
9 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology RoorkeeHigh School, High School at Ch. Chhabil Dass Public SchoolMaster’s Degree, Master’s Degree at Purdue University
English, Hindi
Github Skills (28)
anaconda10
spyder9
python-development9
language-server-protocol9
ide9
action-recognition9
pyqt9
python8
development-environment8
gluon8
semantic-segmentation8
qt8
computer-vision7
object-detection7
react6
Programming languages (3)
Github contributions (5)
singhalarchit/Deep-CTR-Prediction
Nov 2017 - Dec 2017
Contributions:10 PRs, 25 pushes, 1 branch in 9 days
pytorchpredictiondeep-learningcomputer-visionmachine-learning
singhalarchit/newGitTest
Oct 2016 - Oct 2016
Contributions:12 PRs, 16 pushes, 11 branches in 1 day
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