Global IT Executive & Author shaping the future of Quality Engineering, Agentic AI, and GCC Leadership. Nearly three decades turning enterprise complexity into measurable value — from scaling Global Capability Centers to building AI‑driven quality frameworks and a digital ecosystem of 80+ apps.
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Strategy meets execution — from whiteboard to production.
For nearly three decades, I've been at the intersection of technology and business strategy, driven by a single mission: transforming enterprise complexity into measurable value. My experience spans global consulting, GCC advisory, and executive leadership, with a deep focus on Quality Engineering, Digital Transformation, and AI/Data Strategy.
Most recently as a Director at Novartis, I spearheaded the Data, Digital & IT strategy for the Global Capability Center, scaling operations from inception to a high‑performing ecosystem of 400+ professionals with 500% volume growth. I bridge the worlds of strategy and execution — partnering with C‑level stakeholders to shape roadmaps and guiding globally distributed teams to deliver. Today I also advise GCC, MedTech and life‑sciences leaders — including Zinnov and NovintiX — on digital transformation, go‑to‑market and operational excellence.
Recognized as a #3 Global Top Thought Leader (Thinkers360) and a Kaggle Legacy Grandmaster, I evangelize best practices through published works, international speaking, and the development of open‑source frameworks like ACUITAS and VERITAS.
A path from hands‑on engineering and telecom transformation to executive GCC leadership — spanning consulting, advisory, and enterprise roles across five continents.
MBA — Edinburgh Business School, Heriot‑Watt University · B.E. Computer Science & Engineering · Ongoing research interests in AI, analytics & digital transformation (reflected in the PhD Research Companion tool).
Roles and client engagements across:
Full role history, dates and 33 detailed recommendations are on my LinkedIn profile ↗.
Aligning technology with business outcomes.
Colleagues frequently highlight my ability to:
Read detailed recommendations in Peer Voices ↓ or on LinkedIn ↗.
Reusable, standards‑aligned methodologies born from real enterprise delivery.
Using data and AI to inform decisions, de‑risk change, and improve quality.
I hold the distinction of being a Kaggle Legacy Grandmaster, encompassing roles as a Competitions Expert, Datasets Expert, and Notebooks Master. With 1,265+ discussion contributions, I'm active in the global data science community.
Beyond competitions, I developed the ACUITAS AI Quality Engineering Framework, bridging traditional testing and the requirements of the EU AI Act and NIST AI RMF. My technical portfolio spans 73+ GitHub repositories focused on scaling automation and data‑driven delivery.
A hands‑on portfolio spanning Agentic AI, Enterprise & GCC, Quality Engineering, Data & Knowledge, and everyday tools. Most are live Lovable apps; explore by category below.
Full app launcher on Lovable ↗ · All repositories on GitHub ↗ · Projects in Knowledge Hub →
For engineers, leaders, and learners. See all 16 publications in the Knowledge Hub →
See all 13 awards & honours in the Knowledge Hub →
The verified breakdown below — plus 293 learning completions — all searchable in the Knowledge Hub.
Verified badge‑based certifications: Credly profile ↗
Through coaching, community and purposeful knowledge transfer.
Guiding mid‑career professionals and emerging leaders through the adoption of AI, automation and digital‑first thinking — prompt engineering, LLM workflows and data‑driven decision‑making.
Mentoring QE practitioners into leadership roles — from test architects to quality directors. Strategy, team building, automation frameworks, and executive stakeholder communication.
One‑on‑one guidance for senior IC or management tracks — resume strategy, interview prep, personal branding (LinkedIn, GitHub, Kaggle), and navigating global job markets.
Supporting PhD scholars with structured prompting, academic writing, publication planning and dissertation architecture — reflected in the PhD Research Assistant tool (v7.0, 236 prompts).
A selection from 33 recommendations received from leaders across Novartis, Accenture, TCS, Vodafone, GSK and beyond.
Professional, technical, and community.
Open to advisory conversations, board‑level discussions, speaking engagements, and thought‑leadership collaborations. Please include a brief context (organisation, topic, and timeline) and I'll respond as soon as possible.