Atishay Jain
Principal Scientist at Adobe
Greater Noida, Uttar Pradesh, United States
Summary
👤
Senior🎓
Top SchoolAtishay Jain is a Principal Scientist at Adobe with 15+ years in software development and a decade-plus of architectural ownership across mobile, web, and desktop SDKs and frameworks. He blends hands-on engineering—spending roughly half his time writing and reviewing code—with strategic technical leadership and executive-facing technology advocacy. A full‑stack practitioner, his work spans desktop and mobile clients to server and web integrations, and he has led cross-product frameworks that power multiple Adobe experiences. He is a published author (Hugo in Action), an inventor of the award-winning Adobe Shape, and a regular conference speaker, signaling both deep craft and public-facing influence. A US green card holder based in Greater Noida, he augments technical expertise with executive education from Wharton and AI study at Stanford, reflecting a continual appetite for learning and translating advanced ideas into shipped products.
9 years of coding experience
15 years of employment as a software developer
Certificate Course Chief Technology Officer, Certificate Course Chief Technology Officer at Wharton Executive EducationBachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Thapar Institute of Engineering & TechnologyClass XII Science, Class XII Science at Brightlands school, DehradunCertificate Course Artificial Intelligence, Certificate Course Artificial Intelligence at Stanford University
English, Hindi
Github Skills (54)
image9
dvb9
happy9
databse9
cpp8
teletext8
tesseract8
data-structure8
css8
java8
image-processing8
javascript7
projection7
ocr7
digitalocean7
Programming languages (7)
Github contributions (5)
atishayjain708/Face-Recognition-PCA
Dec 2018 - Oct 2019
PCA based face recognition using Eigenfaces and implemented through MATLAB. Using a databse of face images and projection into face-space a face-recognition and identification algorithm is implemented in this repo.
Contributions:6 commits, 2 PRs, 3 pushes in 9 months
projectiondatabsematlabface-recognitionrecognition
atishayjain708/shape-discord-identification
Mar 2019 - Oct 2020
A collection of scripts to identify the most dissimilar shape (i.e. the discord) in a given data-base of images. Used SAX-PAA to convert image data to time-series and then, implements an algorithm to find the most dissimilar shape in approximately O(n) complexity (instead of the O(n^2) of Euclidean distance).
Contributions:2 PRs, 18 pushes, 3 branches in 1 year 7 months
pythoncomplexitysaxdiscordeuclidean
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