Ayush A
Applied AI Engineer II at Microsoft
New York, New York, United States
Summary
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Senior🎓
Top SchoolAyush A is an Applied AI Engineer II at Microsoft with a decade of experience building scalable ML systems that improve Azure Capacity Infrastructure Services. He leads development of a multi-agent resource lifecycle system, combining NL2SQL, a custom knowledge graph, and Mermaid-driven real-time visualization to deliver explainable, interactive insights. His background spans applied ML roles and software development at Microsoft and the University of Nebraska, with hands-on research experience in interpretability, CV, and NLP through Manifold Computing and OpenMined. Notable impact includes reducing front-end bugs by 20% via improved testing practices and mentoring interns to raise team ML proficiency. Based in New York, he pairs research curiosities with production-first engineering to drive cross-team collaboration on high-impact cloud AI features.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Nebraska-LincolnComputer Vision Nanodegree Computer Science/Deep Learning, Computer Vision Nanodegree Computer Science/Deep Learning at Udacity
English, Hindi
Stackoverflow
11reputation
1kreached
0answers
2questions
Github Skills (102)
python9
drag9
deep-learning9
sortable9
machine-learning9
draggable9
jquery8
splitter8
secure-computation8
federated-learning8
drag-and-drop8
signature8
pytorch8
lifecycle8
privacy-enhancing-technologies8
Programming languages (7)
Github contributions (5)
ayushm-agrawal/research_papers_summarized
May 2020 - Nov 2020
Summaries of different Research Papers in the field of Artificial Intelligence
Contributions:33 commits, 8 PRs, 28 pushes in 5 months
deep-learningartificialmachine-learningfieldnatural-language-processing
ManifoldRG/Relative-Weight-Change
Oct 2020 - May 2021
The repository contains the codebase for Relative Weight Change in layers of Deep Neural Networks.
Contributions:7 reviews, 12 PRs, 46 pushes in 7 months
pytorchrelativedeep-learningconvolutional-neural-networkneural-networks
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