Shashank Shailabh
Computer Scientist at Adobe
Noida, Uttar Pradesh, India
Summary
👤
Senior🎓
Top SchoolShashank Shailabh is a computer scientist and senior software/ML engineer with eight years of experience building personalization, templating, and low-latency data systems at Adobe. He designs AI copilots for domain-specific languages and has driven personalization at scale for Adobe Journey Optimizer while building real-time migration services that span CosmosDB, Aerospike, HTTP, and Kafka. His research background includes a VAE-based neural topic model published at ACL 2021 and a patent-backed recommender for Adobe Support Communities, reflecting a pattern of turning research into production. Comfortable across Scala microservices, CI/CD, Terraform, and distributed systems, he combines deep ML instincts with pragmatic engineering to ship reliable, high-throughput features. Based in Noida, he brings a mix of academic rigor from IIT Kanpur and hands-on product impact at a major SaaS company.
8 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Kanpur
Github Skills (16)
mustache10
template-engine10
handlebars10
templating10
logic10
java9
semantic9
gitbook8
development-environment7
server-side-rendering6
macos6
ansible5
rendering-engine5
homebrew5
react2
Programming languages (4)
Github contributions (5)
sshailabh/awesome-template-engine
Feb 2024 - Feb 2025
Available template engines in programming languages
Contributions:28 PRs, 29 pushes, 29 branches in 1 year
rendering-enginerendering-enginesserver-side-renderingtemplate-enginetemplate-language
sshailabh/NB-NTM
Mar 2021 - Jan 2022
Code for 2020 ACL paper "Neural Mixed Counting Models for Dispersed Topic Discovery"
Contributions:1 PR, 5 pushes, 1 branch in 9 months
pytorchdiscoveryaclcounting
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