Corporate trainer and visiting faculty — project management, AI for project managers, and analytics.
I have spent twenty-five years in and around project delivery — fifteen of them building and shipping software, the last ten teaching the people who do it now.
That order matters. I did not come to training from a curriculum background; I came to it from delivery, having run the kinds of projects I now teach. The war stories in my sessions are mine, and so are the mistakes in them.
Today I work in three areas. Project and product management — the full lifecycle, taught as practice rather than exam preparation. AI for project managers — how to put generative AI inside a real PM workflow, from requirements through to reporting, without handing your judgement over to it. And analytics — hands-on Power BI, from data modelling and DAX through to dashboards a sponsor will actually read.
Most training in this space is either too abstract to apply on Monday or too tool-specific to survive the next release. I aim for the space between: frameworks you can defend to a steering committee, and techniques you can use the same week.
Built on projects I delivered, not case studies I read.
People finish things they do alongside other people.
Corporate workshops are rebuilt around your stack and your problems.
The reasoning outlives whichever model is ahead this quarter.
Alongside corporate work I serve as visiting faculty at business schools in Mumbai, teaching MBA students real-world project management, product thinking, and the role of AI in business. I also write — the Insights section is where the longer thinking goes, and the free resources are the checklists and playbooks I built for my own projects first.
Corporate training, a workshop, or a B-school collaboration.