Avishkar Gupta

Senior Applied Scientist (IC4) at Microsoft

New Delhi, Delhi, India
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Summary

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Rockstar
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Top School
Avishkar Gupta is a Senior Applied Scientist with 12 years of experience building and monetizing large-scale AI/ML systems, currently driving data science and AI initiatives for Microsoft's Office Product Group. He blends deep research in multimodal models—text-to-image, Vision-Language Models, diffusion and image-to-3D—with production engineering skills across recommendation systems, backend architecture, and cloud-native deployments. At Haptik he led GenAI projects that moved prototypes into production, improved search precision substantially, and invented data-efficient intent models that cut training needs threefold. Comfortable in Python, Go, C/C++ and Java, he pairs ML expertise with hands-on Kubernetes, Docker and microservices delivery experience. He also has a history of pragmatic innovations—patents, a GSoC performance patch for Scrapy, and a multimodal agent for sewing pattern generation—that show a drive to bridge research and product impact.
code13 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
bookBachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Jamia Millia Islamia
languagesEnglish, Hindi
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Github Skills (130)

transformers10
python10
windows10
scrapy10
deep-learning10
crawler10
gemma10
javascript10
linux10
multimodal10
audio10
transformer10
nlp10
chatbot10
entity10

Programming languages (10)

TypeScriptDockerfileShellC++CJavaScriptGoHTML

Github contributions (5)

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fabric8-analytics/devnull

Sep 2017 - Feb 2020

Various helper scripts that do not belong anywhere
Contributions:15 PRs, 7 pushes, 5 branches in 2 years 4 months
helper-scriptsanywhere
This repository contains the code for the model that serves the companion recommendations for NPM
Contributions:3 reviews, 146 commits, 72 PRs in 1 year 9 months
npmretraining-pipeline-flowonline-flow
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