Hi, I'm Amith.
Builder, product thinker, lifelong learner.
My Story
I grew up in India, and by the time I was eighteen I'd lived in five different cities. That constant change taught me to adapt quickly, find patterns in unfamiliar places, and stay curious about how things work. It also gave me an early appreciation for how differently people experience the same systems.
I started my career as a software engineer at Microsoft, spending 5+ years building enterprise data platforms that powered decisions for thousands of users. It was rewarding work. But over time, I kept noticing that the hardest problems weren't technical. They were about people: how teams adopt new tools, how organizations evolve, and how products actually fit into real workflows. That realization pulled me toward product thinking.
Now I'm at Wharton pursuing an MBA focused on AI for Business, Operations and Decisions. I'm fascinated by how enterprises will make decisions with AI, what enterprise intelligence looks like in the future, and how innovation teams will be designed in the age of AI. I believe that talent organized around a common goal, thinking as one brain, can build things that change the world. The General Magic story captures that spirit perfectly.
Outside of work, I teach Bollywood dance workshops for students at Wharton, and I've been a die-hard Arsenal supporter for over 20 years (go Gooners!). I build prototypes, write about what I'm learning, and believe there's always something new to discover. If any of this resonates, I'd love to hear from you.
The Journey So Far
Wharton MBA
AI for Business, Operations & Decisions
Transitioning to product management and strategy. My major focuses on how AI transforms organizations — not just the technology, but the systems thinking required to deploy it responsibly. Exploring how to build products that respect human behavior and create real value.
Microsoft
Software Engineer → Senior SWE
5+ years building enterprise data platforms, cloud solutions architecture, and business intelligence systems. Led digital transformation initiatives, modernized legacy BI infrastructure, and prepared platforms for AI integration. While working on my first AI projects, I realized the biggest challenge wasn't the models — it was re-engineering people and processes for a new paradigm.
Research
Computer Vision & ML
Research at Carnegie Mellon Robotics Institute and Indian Institute of Science. Worked on computer vision for robotic grasping and synthetic data generation for ML training — specifically for autonomous vehicle perception systems. Published in IEEE RA-L / ICRA 2020.
Birla Institute of Technology and Science (BITS Goa)
Dual Degree — B.E. Computer Science & M.Sc. Economics
Five years at BITS shaped me in ways that went far beyond academics. I led the Sponsorship & Marketing team for our flagship campus festival, managing a crew of 80 and learning firsthand how to rally people around a shared goal. That experience taught me more about leadership, persuasion, and team dynamics than any classroom could. I also became a choreographer during this time, channeling a lifelong love for dance into something I could share with others.
How I Think
First Principles Over Convention
Break problems down to their fundamentals. Question assumptions. Rebuild from simple truths rather than following what's always been done.
Systems Perspective
Understand how the pieces interact. Optimize for the whole, not just the parts. Think about second and third-order effects before making a move.
Ship Simple, Learn Fast
The best solutions are often elegantly simple. Complexity is the enemy of shipping. Build the smallest thing that solves a real problem, then iterate.
Technology for People
What excites me most is bringing research and edge technology to the people who need it. Commercializing breakthroughs into products that improve lives is where engineering meets impact.
Currently Exploring
Enterprise Intelligence
How do large organizations make better decisions with AI? Not just adding dashboards, but fundamentally rethinking how enterprise knowledge flows, surfaces, and informs action.
Innovation Teams of the Future
How will engineering and product teams be designed in the age of AI? New workflows, new roles, new ways of collaborating. The companies that figure this out first will define the next decade.
From Research to Product
Bridging the gap between what's possible in the lab and what's useful in the real world. Taking edge technology and turning it into products that people actually adopt and love.
Thanks for Getting to Know Me
Whether you're a recruiter exploring candidates, a founder looking for a product mind, or someone who shares my interests, I appreciate you being here. I'm always up for a good conversation.
Let's Connect