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Shivang Singh

Shivang Singh and Harrison Groll developed the Spark Utility for Visa's AI Workbench to enhance data exploration capabilities. Shivang developed the UI components and API endpoints while Harrison managed backend requests and scheduled batch processing on the cluster. Their contributions aimed to allow users to gain deeper insights from Visa's ML/DL models and improve the efficiency of accessing and analyzing data.

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Intern Impact Presentation Shivang Singh University of Texas at Austin, Bachelors in Computer Science Intern Manager: Harishkumar Majithiya, Lead SW Engineer Harrison Groll University of Miami, Bachelors in Computer Science and Business Technology
©2017 Visa. All rights reserved. Visa confidential2 Purpose: Enhance AI Workbench data exploration capabilities, allowing users to attain more value from the Models/AI Algorithms built by Visa Research. AI Workbench: Spark Utility Contribution: Harrison • Manage Backend Table Requests • Schedule Batch Request(s) • Execution of Request on Cluster • Response CSV Output File Via SFTP Impact: • Will allow end user to gain deeper insights from ML/DL models • Value generating service, improves the efficiency in which data is grabbed • Eff Spark Utility
©2017 Visa. All rights reserved. Visa confidential3 Purpose: Enhance AI Workbench data exploration capabilities, allowing users to attain more value from the Models/AI Algorithms built by Visa Research. AI Workbench: Spark Utility Contribution: Shivang • Developed UI components • Spring boot endpoint • Populated the backend table • Generated a dynamic Spark SQL Impact: • Will allow end user to gain deeper insights from ML/DL models • Value generating service, improves the efficiency in which data is grabbed Spark Utility
©2017 Visa. All rights reserved. Visa confidential4 Q&A

More Related Content

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  • 1. Intern Impact Presentation Shivang Singh University of Texas at Austin, Bachelors in Computer Science Intern Manager: Harishkumar Majithiya, Lead SW Engineer Harrison Groll University of Miami, Bachelors in Computer Science and Business Technology
  • 2. ©2017 Visa. All rights reserved. Visa confidential2 Purpose: Enhance AI Workbench data exploration capabilities, allowing users to attain more value from the Models/AI Algorithms built by Visa Research. AI Workbench: Spark Utility Contribution: Harrison • Manage Backend Table Requests • Schedule Batch Request(s) • Execution of Request on Cluster • Response CSV Output File Via SFTP Impact: • Will allow end user to gain deeper insights from ML/DL models • Value generating service, improves the efficiency in which data is grabbed • Eff Spark Utility
  • 3. ©2017 Visa. All rights reserved. Visa confidential3 Purpose: Enhance AI Workbench data exploration capabilities, allowing users to attain more value from the Models/AI Algorithms built by Visa Research. AI Workbench: Spark Utility Contribution: Shivang • Developed UI components • Spring boot endpoint • Populated the backend table • Generated a dynamic Spark SQL Impact: • Will allow end user to gain deeper insights from ML/DL models • Value generating service, improves the efficiency in which data is grabbed Spark Utility
  • 4. ©2017 Visa. All rights reserved. Visa confidential4 Q&A

Editor's Notes

  • #3: Format: 5 Minute Presentation 2 Minute Q&A What is the most impactful contribution you’ve made this Summer? Introduce yourself, your team and describe your task. Summarize your process or method. Deliver your end results. What skills did you develop? How did your contribution impact your team?
  • #4: Format: 5 Minute Presentation 2 Minute Q&A What is the most impactful contribution you’ve made this Summer? Introduce yourself, your team and describe your task. Summarize your process or method. Deliver your end results. What skills did you develop? How did your contribution impact your team?