Connecting the Dots: 15 Years in the Making

The Chapters

• Started in engineering — wrote textbooks on system security while still at university
• Built websites and software for small businesses at a startup, where I learned that technology only matters when it solves a real problem for a real person
• Followed it with a Masters in e-Business — because building things is one skill, knowing which things to build is another
• Joined Resultrix, Publicis Groupe — learned the fundamentals of digital from some of the best in the business
• Started hands-on across SEO, analytics, creative, and app development
• Five years later, led integrated pitches and moved from Mumbai to Dubai to help build the practice across the Middle East

At Emirates NBD, I helped double the bank's digital business share. Drove the digital marketing for Liv. Bank, which became the fastest-growing digital bank in the region.

That chapter taught me something I still carry:

Growth is not a channel problem. It is an intelligence problem. The teams that win are not the ones spending more — they are the ones who understand more.

Then I founded PivotConsult at PivotRoots — a data and technology division built from zero:

• No team. No revenue. No playbook
• Grew into a 50-person operation working with brands like KFC, Kotak, Bisleri, Coca-Cola, Swiggy, and Disney
• Acquired Deepflux.ai
• Built composable CDPs, deployed marketing automation at scale
• Started working with AI and generative models before most of the industry had finished reading the headlines about them

PivotRoots was acquired by Havas. It was a good outcome — and I am grateful for every part of it.

The Pause

After the exit, I could have taken the next role. But something had shifted.

• At PivotConsult, I had been working with AI and ML — deploying it for clients, understanding what it could do, seeing where it fell short
• In the last year, I went deeper than I ever had — not just using AI, but building with it
• Testing models. Writing specs. Architecting agent pipelines
• Getting hands dirty with Claude, Cursor, and multi-model orchestration

The more I built, the more clearly I could see — the technology was reaching a point where it could carry real marketing expertise, not just automate tasks. That is not an incremental change. That is a different game entirely.

I wanted to build for that.

I spent time on treks. Talked to mentors and friends I trust. Had long conversations about what matters and what is noise.

Somewhere on a trail, away from screens and email notifications, something became clear — not as a dramatic revelation, but as a quiet recognition of what had been true for a long time.

The Filter

Steve Jobs said something in his 2005 Stanford Commencement Address that I have thought about more in the last year than at any other point in my life.

He talked about how:

• You cannot connect the dots looking forward
• You can only connect them looking backward
• You have to trust the dots will somehow connect in your future

Jobs was speaking about his own unexpected path — dropping out of Reed College, stumbling into a calligraphy class that had no practical application, only to find that it shaped the typography of the Macintosh a decade later. His point was not about planning. It was about trust — trusting that the seemingly random chapters of your life are building toward something you cannot yet see.

For most of my career, I was too close to see the pattern:

• Engineering
• Agencies
• Banking
• Data
• AI

Each one a different industry, a different country, a different version of myself.

Convergence

What I see now, looking backward, is convergence. Not randomness.

Every role had been building the same muscle — the ability to sit at the intersection of marketing, data, and technology and make those three things work together for growth:

• Operations taught me systems
• Analytics taught me to listen to the data, not my assumptions
• Banking taught me scale under pressure
• Building PivotConsult taught me that the hardest problems are never technical — they are human

Each chapter was a lesson I did not know I was learning.

The Hard Part

Everyone is talking about AI. A lot of that conversation skips the hard part.

I spent years doing the hard part.

At PivotConsult:

• Built composable CDPs on AWS
• Deployed generative AI for real clients with real data and real business outcomes
• Built predictive models for Disney that forecast box office numbers
• Engineered marketing automation pipelines for KFC that moved the needle on customer lifetime value

Unglamorous work. Real outcomes. That is exactly the point.

The Lever and the Moat

The hype says AI will replace marketers. I have learned something different.

• AI is a lever — it amplifies what you already know
• Human intelligence — the ability to read context, interpret signals, and make judgment calls that no model can make — that is still the moat
• It has always been the moat. AI just made it visible

I have been building something differently:

• A system that embeds real marketing skills and capabilities into AI
• Not another chatbot — the same thinking a senior strategist brings, made accessible to teams that have never been able to afford it
• I do not have all the answers yet
• But I have the problem clearly in sight, and I have 15 years of dots that finally connect