2021 to now

Philips North America

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

Responsible AI · regulated medical softwareMy focus here is digital transformation in regulated software and systems development, through the responsible use of AI.

64 with evidence38 more, listed below69 talks and sessions

  1. 2026 Anytime Feedback Across Seven Locations

    “Making others feel safe is extremely important for progress, collaboration, and true innovation. His willingness to help is an example for all.”

    Quality Program Manager, Philips, 2026
    Anonymous Learning Product Portfolio Manager feedback recommending practical, learner-focused examples.
    • Document
    • 3 quotes
    See the evidence
  2. Presented at Philips' first Innovation Engineering Impact Showcase

    Before
    The technical work could have remained known mainly to the teams already using it.
    The call
    Present the technical story to a broader engineering audience.
    What changed
    The post-event message listed me among the speakers and thanked everyone who contributed to the showcase.
    Document: Presented at Philips' first Innovation Engineering Impact Showcase
    • Responsible AI · regulated medical software
    • Document
    See the evidence
  3. 4

    businesses use the AI traceability platform I conceived, with two more planned for 2026

    Pilot, early 2026: three businesses

    After the pilot: four, with two more planned (hollow)

    • Responsible AI · regulated medical software
    • 1 quote
    See the evidence
  4. 1,007

    people in my AI sessions from January to September 2026

    Running total by month

    Teams asked for 13 of the 27 sessions. Rated 8.7 out of 10 on average.

    Document: Responsible AI usage coach to 1,000+ medical software development community in 27 sessions in 2026
    • Responsible AI · regulated medical software
    • Document
    See the evidence
  5. Proposed a shared knowledge layer for AI agents

    Before
    Each AI tool would build and govern its own copy of the same context.
    The call
    Invest once in a shared, governed layer.
    What changed
    It fed the 2027 business case.
    • Responsible AI · regulated medical software
    See the evidence
  6. 10,985

    semantic chunks

    • 994graph nodes

    Built a regulatory knowledge layer proof of concept

    • Responsible AI · regulated medical software
    See the evidence
  7. 8.87 to 10

    rating out of 10 across a three-part AI series I ran for business analysts

    8.87
    Part 182 people
    9.46
    Part 2101
    10
    Part 384

    Scale from 8 to 10

    Their community lead called the sessions the top recommended material of the year.

    Document: Taught analysts to work with AI in a three-part series
    • Responsible AI · regulated medical software
    • Document
    • 1 quote
    See the evidence
  8. ~3,000

    issues triaged

    Coordinated AI triage of about 3,000 issues

    • Responsible AI · regulated medical software
    See the evidence
  9. 10/10

    NPS

    First business

    Second business

    Two businesses gave the platform a perfect 10

    • Responsible AI · regulated medical software
    See the evidence
  10. Took AI defect triage from proposal to funded plan

    Before
    The funded idea would start without agreed scope, governance or architecture.
    The call
    Agree scope, governance and architecture options before any build work starts.
    What changed
    The initiative moved from proposal into a funded, scoped six-month engagement.
    • Responsible AI · regulated medical software
    See the evidence
  11. Took the AI work to the company's Innovation Impact Week

    Before
    The platform would stay known mainly to the businesses already using it.
    The call
    Use a company-wide stage to reach architects, verification and validation teams and quality professionals.
    What changed
    New teams asked for demos and for help judging the platform's fit, and the team was asked to arrange a walkthrough with the CIO.
    • Responsible AI · regulated medical software
    See the evidence
  12. Released AI test-gap detection

    Before
    Teams would find untested requirements by hand, late in the release.
    The call
    Roll out one business at a time, after its data is validated.
    What changed
    Live for the first business on 8 March, with advanced search added for all current users.
    • Responsible AI · regulated medical software
    See the evidence
  13. Released AI impact assessment

    Before
    Teams would re-verify every requirement each release, whatever had changed.
    The call
    Build each capability on the same trace graph, one release at a time.
    What changed
    Teams could see which requirements a change touched before deciding what to re-verify.
    • Responsible AI · regulated medical software
    See the evidence
  14. 3 x 30

    seats, all filled

    Expanded AI courses to meet demand

    • Responsible AI · regulated medical software
    See the evidence
  15. Delivered the first release of the AI traceability platform

    Before
    Traceability would stay manual, spread across documents and tools, and slow to audit.
    The call
    Model the trace as a knowledge graph on top of existing tools, with people approving every link.
    What changed
    Release data from three business teams was traceable end to end in one place, and the milestone review confirmed the project was on track.
    • Responsible AI · regulated medical software
    See the evidence
  16. 4.5 to 7.6

    self-rated AI confidence out of 10, before and after a three-day workshop I designed and taught

    Before: 4.5
    After: 7.6

    One engineering team, surveyed before and after.

    Document: Ran a three-day GenAI workshop that lifted confidence 69%
    • Responsible AI · regulated medical software
    • Document
    See the evidence
  17. 2025 review: led the move from AI experiments to value

    The call
    Deploy AI tools teams can use at scale and use them to simplify compliance work.
    What changed
    19 anytime feedback entries from colleagues in several countries, from engineers to the head of quality and reliability engineering.
    • Responsible AI · regulated medical software
    • Performance review
    See the evidence
  18. Brought compliance checks into the company AI platform

    Before
    The check would stay a personal tool that teams had to ask me for.
    The call
    Put the check on a platform teams already use, with no license needed.
    What changed
    Available to any team on the platform; a user said it made requirements review much simpler.
    Document: Brought compliance checks into the company AI platform
    • Responsible AI · regulated medical software
    • Document
    See the evidence
  19. 10

    NPS

    Scored a perfect 10 on a product quality review

    See the evidence
  20. Built an AI agent for regulated requirements

    Before
    Requirement gaps would surface late in reviews and audits.
    The call
    Keep a person deciding; let the agent point to evidence.
    What changed
    Other teams requested access; it later became an official asset of the company's AI platform.
    Document: Built an AI agent for regulated requirements
    • Responsible AI · regulated medical software
    • Document
    See the evidence
  21. 492

    learners in a 33-session program I led with Philips University, rated 8.9 out of 10

    One square per session. Orange: the 23 I taught myself

    Document: Led a 33-session learning program with Philips University
    • Responsible AI · regulated medical software
    • Document
    • 1 quote
    See the evidence
  22. 9.2/10

    rating

    9.2 out of 10

    Taught an engineering community to use AI, rated 9.2 out of 10

    • Responsible AI · regulated medical software
    See the evidence
  23. 34

    trainers coached

    Coached trainers so teams could lead their own AI adoption

    Chat: Coached trainers so teams could lead their own AI adoption
    • Responsible AI · regulated medical software
    • Message
    • 1 quote
    See the evidence
  24. 4,131

    people reached

    • 83program NPS

    Taught teams to prioritize technical debt with data

    Document: Taught teams to prioritize technical debt with data
    • Document
    See the evidence
  25. 4,103

    people reached by the announcement

    Brought AI-assisted coding to Philips University

    Document: Brought AI-assisted coding to Philips University
    • Responsible AI · regulated medical software
    • Document
    See the evidence
  26. Recommended by my former manager for leadership and DORA gains

    “His efforts have led to significant improvements in our DORA metrics for both traditional software and SaaS projects.”

    Former head of worldwide Software Excellence, Philips, 2025
    • 1 quote
    See the evidence
  27. Mentoring recognized

    See the evidence
  28. 104

    connects

    • 28pieces of feedback

    2024 review: turned an indifferent business into a partner

    • 2 quotes
    • Performance review
    See the evidence
  29. Wrote on influence without authority

    See the evidence
  30. Health-data scanner adopted in a cloud playbook

    See the evidence
  31. Presented virtualization at the Innovation Forum

    See the evidence
  32. Supported a project through its program gate

    See the evidence
  33. 250+

    participants

    Led Developer Days India for 250+ engineers

    Document: Led Developer Days India for 250+ engineers
    • Document
    See the evidence
  34. 8.6/10

    rating

    8.6 out of 10

    Designed and taught a SOLID principles series

    • 1 quote
    See the evidence
  35. Static analysis built into a platform's pipeline

    “Thanks to your valuable support, I was able to integrate SonarQube in AppEngine successfully.”

    Engineer, Philips, 2024
    • 1 quote
    See the evidence
  36. ~3 min

    test run on a virtual machine

    Led a proof of concept to run ultrasound tests on virtual machines

    Document: Led a proof of concept to run ultrasound tests on virtual machines
    • Document
    • 1 quote
    See the evidence
  37. A director asked to adopt code-health analysis

    “Thank you for the informative session on CodeScene yesterday. Was quite impressive and many of the features discussed could facilitate some of Ultrasounds' objectives.”

    Director of Engineering, Ultrasound, Philips, 2024
    • 1 quote
    See the evidence
  38. Kubernetes advice for a platform team

    See the evidence
  39. Code-review improvements for a product team

    See the evidence
  40. Craftsmanship report recognized company-wide

    What changed
    Data covered over 80% of the software community.
    See the evidence
  41. 24

    pieces of requested feedback

    2023 review: all three goals above expectations

    • 1 quote
    • Performance review
    See the evidence
  42. 1,569

    people reached by the results post

    Organized the US developer portal hackathon

    Document: Organized the US developer portal hackathon
    • Document
    See the evidence
  43. A mastery chat with a data science team

    See the evidence
  44. Shared interviewing resources

    The call
    Reuse the bar-raiser program.
    What changed
    The team asked for a session.
    See the evidence
  45. Unblocked a team's static-analysis build in an hour

    Before
    The team would lose more days on setup.
    The call
    Pair right away rather than schedule a consultation.
    What changed
    They got their first successful build.
    See the evidence
  46. Demoed AI coding tools at a Cambridge launch event

    The call
    Show, not tell.
    What changed
    Leaders thanked the hosts publicly.
    • Responsible AI · regulated medical software
    See the evidence
  47. Thanks from the head of software excellence

    “I just wanted to add my personal thanks to you for your work on the launch event.”

    Head of worldwide Software Excellence, Philips, 2023
    • 1 quote
    See the evidence
  48. Five years at Philips

    See the evidence
  49. Reviewed an SBOM automation

    What changed
    The team incorporated my inputs.
    See the evidence
  50. Brought code-health analysis into a product pipeline

    Before
    Code health would stay invisible until defects appeared.
    The call
    Put the analysis in the pipeline, not in a report.
    What changed
    The business reviewed it in its progress dialogue.
    See the evidence
  51. Demoed code-health analysis to a quality team

    The call
    Show the tool on real code.
    What changed
    The quality team followed up on integrating it.
    See the evidence
  52. Named in the Software Excellence Awards announcement

    See the evidence
  53. ~50

    engineers attended

    • 1,103people reached by the announcement

    Designed and ran a hands-on code quality workshop for about 50 engineers

    Document: Designed and ran a hands-on code quality workshop for about 50 engineers
    • Document
    See the evidence
  54. Feedback on mentoring

    See the evidence
  55. A team member on my mentoring

    “The clarity and details you provide before sharing the work help me understand the purpose of the work and the expected outcome, allowing me to get started on the work and finish it on time without any struggle.”

    Software Technologist, Philips, 2023
    • 1 quote
    See the evidence
  56. 138

    projects analyzed

    Led a company-wide software craftsmanship report on 138 projects

    See the evidence
  57. 17

    feedback responses

    17 pieces of feedback from colleagues in four countries

    • 2 quotes
    See the evidence
  58. 2022 review: guidance of new joiners above expectations

    The call
    Focus the year on two areas, end-to-end assessment of the SaaS factory pilots and reusable workflows for the tools teams use.
    What changed
    Overall Performing, with guidance of new joiners rated Exceeds and teaming rated Role Model; the reusable assets were gaining traction among pilot projects.
    • Performance review
    See the evidence
  59. Helped a SaaS team take its regulated pipeline from architecture to Alpha

    “Without this fusion team, SaaS team as a single entity would not have been able to achieve the same in a span of 2 PIs.”

    Project lead, SaaS, Philips, 2022
    • 1 quote
    See the evidence
  60. Coached a SaaS team on reusable CI workflows

    “Thank you for all the time you have given us so far. We have thoroughly enjoyed the learning.”

    Software engineer, SaaS team, Philips, 2022
    • 1 quote
    See the evidence
  61. Owned the software track of the graduate program

    Before
    Graduate trainees in different countries would rotate through software assignments without a mentor.
    The call
    Run the track through monthly connects so every trainee knows their options.
    What changed
    The program office turned to me to onboard new trainees and to guide their rotations.
    See the evidence
  62. 67 to 78

    average assessment score

    Before: 67
    After: 78

    Owned the program that raised the average craftsmanship score from 67 to 78

    See the evidence
  63. months to minutes

    time to wire a project to the required security scanner

    Time to wire a project to the security scanner

    Before: months
    After: minutes

    Led InnerSource adoption that cut security-scanner setup from months to minutes

    • 1 quote
    See the evidence
  64. 3

    goals rated Exceeds Expectations

    2021 review: promoted, with three goals above expectations

    • 2 quotes
    • Performance review
    See the evidence
Also at Philips North America: 38 more entries without a card

2026

Role

  1. Sep 2026Named solution architect for the contextual intelligence layer in the 2027 resource model.
  2. Nov 2021Promoted to Software Excellence Competency Lead and transferred from Philips India to Philips North America to run software excellence programs for North American and Latin American businesses.

Scope and responsibilities

Signature work

  1. 01

    Took an AI-assisted traceability platform from a three-business pilot to a fourth business

    Set the design, secured funding and guided the team from a first milestone on three teams' release data in January 2026 to adoption by a fourth business after the pilot, with two more planned for 2026; two businesses scored the work 10 out of 10.

    See the evidence

  2. 02

    Built practical, compliant AI skills across the engineering organization

    Designed and led a 33-session Philips University program for 492 learners, taught 27 AI sessions to more than 1,000 people in 2026, and built an agent that checks requirements against IEC 62304.

    See the evidence

  3. 03

    Quality programs with measured results

    Owned the craftsmanship assessment program that raised the average score from 67 to 78, led InnerSource adoption that cut security-scanner setup from months to minutes, and led the 138-project State of Software Craftsmanship report.

    See the evidence

In numbers

  • 3businesses in the pilot, 4 using it after
  • 33Philips University sessions, 492 learners
  • 27AI sessions, 1,000+ people
  • 138projects analyzed
  • 250+at Developer Days India

What people said

“You created a relationship in the face of indifference towards SWE from the BU and turned it into a trusted relationship.”

Manager, head of worldwide Software ExcellencePhilips, February 2025Read the capsule

“His efforts have led to significant improvements in our DORA metrics for both traditional software and SaaS projects.”

Former head of worldwide Software ExcellencePhilips, 20 February 2025Read the capsule

Year by year

  1. 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.

    34 events

  2. 2025

    Owned a goal to lead the move from AI experiments to value, rated Exceeds. Led a 33-session Philips University program for 492 learners, built an AI agent that checks requirements against IEC 62304 and brought it onto the company AI platform, and coached trainers so teams could carry AI adoption themselves. One team's AI confidence rose from 4.5 to 7.6 in three days.

    22 events

  3. 2024

    As Software Excellence Competency Lead managing nine competency experts, turned an indifferent business relationship with Ultrasound into trust and led the proof of concept that first ran its test suites on virtual machines. Led the team that organized Developer Days India for 250+ engineers, held 104 connects with 389 colleagues and brought static analysis and code-health tooling into product pipelines.

    14 events

  4. 2023

    I supervised software competency experts in North America, building on earlier supervisory experience in Philips India. I led the State of Software Craftsmanship report on 138 projects, ran the Back2Basics workshop for about 50 engineers and organized the US developer portal hackathon with the Software Excellence team. All three goals were rated Exceeds Expectations, and feedback from the businesses was 100% positive.

    16 events

  5. 2022

    Owned the craftsmanship assessment program, which raised the average assessment score from 67 to 78. Led InnerSource adoption in business units, where shared GitHub workflows cut the setup of a required security scanner from months to minutes. Helped a SaaS team take its DevOps pipeline to a working Alpha with design history and test automation built in, and led the graduate program's software track.

    13 events

  6. 2021

    Promoted to Software Excellence Competency Lead in November and transferred from Bengaluru to Philips North America to lead software excellence programs for North American and Latin American businesses. Three goals were rated Exceeds Expectations, including changing how teams work through those programs, and my manager called me a steadying force through the team's shift to continuous value delivery.

    3 events

What I took from it

North America is where I learned to lead AI-enabled transformation in regulated software. Trust comes before tooling: listen to what a business needs, show a working result, then scale it, which is how the traceability platform went from a pilot in three businesses to a fourth that chose to adopt it. In regulated work AI earns its place only when a person can see, check and own every decision it touches, so I surface the evidence for a person to judge before automating the judgment. Leading a global team taught me that my job is to make that standard easy for others to hold, not to hold it alone.