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Speaker

Shaibal Maji

Shaibal Maji

Ulta Beauty Inc, Sr IT Manager (developer expereince), Expert at large-Scale eCommerce systems engineering, distributed cloud platform , and applied AI/ML at scale

Chicago, Illinois, United States

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Shaibal Maji is a digital commerce engineering leader with over two decades of experience building and modernizing large-scale e-commerce systems. He leads platform engineering initiatives that supports millions of monthly users. His work centers on designing and implementing commerce platform/features, improving distributed system reliability, and enabling product teams to ship complex commerce capabilities without compromising performance.
Shaibal holds a Bachelor of Engineering in Information Science, an MBA from Boston University (Questrom School of Business), and is currently a Ph.D. doctoral candidate in Information Technology with a specialization in Artificial Intelligence.

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Area of Expertise

  • Information & Communications Technology

Topics

  • ecommerce
  • The Future of eCommerce & Retail: How AI and Personalization Are Changing the Game
  • Aspect Based Sentiment Analysis for Ecommerce and FMCG Industry
  • ERP-integrated ecommerce
  • ecommerce development
  • eCommerce Fulfillment
  • Cloud Native
  • Cloud Architecture
  • Cloud Security
  • Cloud Computing
  • Cloud Technology
  • Cloud & Infrastructure
  • artificial intelligence security
  • Digital Transformation
  • Digital strategy and Transformation
  • Digital Transformation & Strategy
  • Agile Digital Transformation & Data Analytics
  • Digital Platform Stratergy
  • AI-Powered Digital Transformation
  • Digital Transformation & Technology Adoption
  • cybersecurity and digital transformation
  • Digital Transformation & Modernization

Events

AI DevSummit + DeveloperWeek Management 2026 Sessionize Event

May 2026 South San Francisco, California, United States

Shaibal Maji

Ulta Beauty Inc, Sr IT Manager (developer expereince), Expert at large-Scale eCommerce systems engineering, distributed cloud platform , and applied AI/ML at scale

Chicago, Illinois, United States

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