Datta Vellal

2026

Guided the team behind the AI-assisted traceability platform from its first milestone in January through a pilot in three businesses to adoption by a fourth, with two more planned for 2026 and two businesses scoring it 10 out of 10. Won funding for an AI defect-triage project with Ultrasound and coordinated it through its first milestone, taught 27 AI sessions to 1,000+ people and co-wrote the proposal for a shared knowledge layer for AI agents. Was named solution architect for the contextual intelligence layer in the 2027 resource model.

  • 3businesses in the pilot, 4 using it after
  • ~3,000issues triaged
  • 27AI sessions, 1,000+ people, 8.7/10

NPS 10 from two businesses.

What mattered most

  1. 01

    ReqSpec analyzed 2,294 Spectra-wave requirements in under three minutes

    I developed ReqSpec during Project Elevate time-writing and worked with an IGT-D customer to use it on the Spectra-wave product. It analyzed 2,294 requirements in under three minutes and received a 10/10 customer NPS. The customer estimated 18 weeks of manual effort avoided; this was an estimate, not a measured labor reduction.

  2. 02

    Took the traceability platform from a three-business pilot to a fourth business

    I conceived the AI-assisted traceability platform and guided its team through a pilot in three businesses. A fourth business adopted it after the pilot, and two more plan to adopt it in 2026.

  3. 03

    Responsible AI usage coach to 1,000+ medical software development community in 27 sessions in 2026

    I taught practical, compliant AI use in 27 sessions this year to more than 1,000 engineers, architects, managers and analysts, through Philips University, team requests and company events. A four-session series for an IGT-D engineering team drew 50, 46, 45, and 41 attendees, with satisfaction ratings from 7.21 to 8.17 out of 10.

  4. 04

    Two businesses gave the platform a perfect 10

    Two businesses scored the AI-powered verification and validation compliance work I led 10 out of 10 for NPS; the program leader called each score a bull's eye.

  5. 05

    Delivered the first release of the AI traceability platform

    I led delivery of the traceability platform's first capability, which went live on release-document data from three business teams.

“The output highly and positively impacted the project.”

Customer respondentPhilips, 28 October 2026Read the capsule

By month

Also in 2026

  1. 3 November 2026Recognized as an Impact Maker for Project ElevateRecognition
  2. 6 October 2026A direct report recommends me as a mentorRecognition
  3. 4 October 20262026 Anytime Feedback Across Seven LocationsRecognition
  4. 1 October 2026Presented at Philips' first Innovation Engineering Impact ShowcaseTalk
  5. September 2026Supplied impact, scaling, resource and risk inputs to the 2027 contextual intelligence layer business caseProgram
  6. September 2026Approved enrollment beyond capacity for the final 2026 Copilot session (39 registered, 16 waitlisted)Program
  7. September 2026Advanced the AI design-checklist study to decision support, with experts making the final callProject
  8. September 2026Named solution architect for the contextual intelligence layer in the 2027 resource modelRole
  9. August 2026Proposed a shared knowledge layer for AI agentsProgram
  10. 10 July 2026Supported the defect-triage project through Milestone 1, with AI search matching failures to known issuesProject
  11. July 2026Taught a Microsoft 365 Copilot training sessionTalk
  12. July 2026Defined five PLM integration use cases, with stories and acceptance criteria, as IT's requirements baselineProject
  13. July 2026Built a regulatory knowledge layer proof of conceptProject
  14. June 2026Taught analysts to work with AI in a three-part seriesTalk
  15. June 2026Coordinated the defect-triage team to its first sprint demo, on live Ultrasound test dataProject
  16. June 2026Secured approval for his cross-domain knowledge graph proposal on the existing accelerator budgetProgram
  17. June 2026Coordinated AI triage of about 3,000 issuesProject
  18. 6 May 2026Moved defect triage from plan to first end-to-end output, with a deterministic workflow and human validationProject
  19. May 2026Completed the Ultrasound benefit-risk AI proof of concept and aligned the business on a broader data layerProject
  20. May 2026Helped kick off the funded AI defect-triage project with daily standups, a requirements package and governanceProject
  21. April 2026Secured round-2 AI accelerator funding (EUR 29K) for the traceability platform, tied to a joint roadmapProgram
  22. April 2026Took AI defect triage from proposal to funded planProgram
  23. April 2026Delivered the first usable traceability platform staging environment to an image-guided therapy businessProject
  24. April 2026Took the AI work to the company's Innovation Impact WeekTalk
  25. 8 March 2026Released AI test-gap detectionProject
  26. March 2026Got his requirements AI agent adopted as an official asset of the company AI agent platformProject
  27. March 2026Released AI impact assessmentProject
  28. March 2026Extended the traceability platform to a pilot with a new team, starting with release-wide traceabilityProject
  29. March 2026Shaped and submitted two AI accelerator proposals, for Ultrasound defect triage and test-case generationProgram
  30. 4 February 2026Taught the Philips University course on DORA and continuous value deliveryTalk
  31. February 2026Expanded AI courses to meet demandProgram