Visa
Machine Learning Leadership
Leading applied machine learning work at the intersection of intelligent systems, product, and global-scale financial technology.
The short version
Engineer at heart. Science leader by practice. Always interested in the gap between a promising model and a product people trust.
For more than a decade, I’ve worked where machine learning meets real life—building systems, growing teams, and making ambitious ideas useful.
10+Years in ML & data science
5Years building at Amazon
1Innovation Champion award
Selected chapters
Building from first principles. Leading at scale.
My career has moved from hands-on engineering to applied science and team leadership—without losing the instinct to get close to the problem.
Amazon
Applied Science & Science Leadership
Grew from applied scientist to building and leading a science team from the ground up, solving high-impact ML problems at scale.
MakeMyTrip
Data Science · Conversational AI
Helped build and deploy MYRA, an early deep-learning customer support chatbot spanning flights, hotels, buses, cabs, rail, and visas.
Earlier
Roposo · GrownOut · Qualcomm
Built data products across consumer social, talent intelligence, and software infrastructure—developing the engineering range behind the science.
IIT Delhi
Computer Science & Engineering
The foundation: systems, algorithms, curiosity, tennis, and a lasting bias toward difficult problems worth solving.
How I lead
Strong teams make the model matter.
Start with the human problem
The best technical work begins with a precise understanding of who it serves and what changes for them.
Make rigor practical
Good science is measured not only by an offline metric, but by reliability, clarity, and impact in the real world.
Build leaders, not dependencies
Give talented people context, ownership, and the room to develop their own point of view.
Stay close to the craft
Leadership works better when curiosity stays alive and the details still matter.
Let’s connect
Have an ambitious AI problem? I’m always up for a good conversation.
Based in San Francisco
Thinking globally
Working at scale