Ashish Gupta is a Staff ML Engineer with ~9–10 years of experience building large-scale ML systems for search, catalog enrichment, personalization, and ranking across companies like ServiceNow, ShareChat, Microsoft, and Walmart. He specializes in semi-supervised learning, neural modeling and RL for NLP/IR, and has repeatedly shipped production models—including TPU-distributed training pipelines and DAG-based data stacks for in-session personalization. A top 1% Kaggle competitor, published researcher and recurring reviewer for top conferences (KDD, EMNLP, CIKM, WWW, ACL), he blends rigorous research with pragmatic engineering. He also mentors at Scaler Academy and has led initiatives to reduce labeled data needs via weak supervision and autotagging, an underappreciated lever behind several catalog-enrichment wins. Based in Hyderabad, he’s currently building a cloud AI code-generation tool at ServiceNow while maintaining an active public portfolio.
9 years of coding experience
8 years of employment as a software developer
Master of Technology (M.Tech.), Data Science, Master of Technology (M.Tech.), Data Science at International Institute of Information Technology Bangalore
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at SHRI RAMSWAROOP MEMORIAL COLLEGE OF ENGINEERING AND MANAGEMENT, LUCKNOW
Contributions:6 commits, 4 pushes, 1 branch in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.