About Amith
Who I Am
I'm a software engineer turned product thinker. After 5+ years at Microsoft building enterprise data platforms and leading digital transformation initiatives, I'm now at Wharton pursuing an MBA focused on AI for Business, Operations and Decisions.
My journey has taken me from research labs working on computer vision for autonomous vehicles, to building scalable cloud architectures serving thousands of enterprise users. Along the way, I realized that the biggest challenge to effective AI adoption isn't the technology — it's the people and systems that need to evolve alongside it.
I'm now exploring how to build products and workflows for this new paradigm. Not force-fitting AI into existing molds, but rethinking how we work, create, and learn.
My Approach
First Principles Thinking
Break problems down to fundamentals, question assumptions, rebuild from simple principles rather than following conventions.
Systems Perspective
Understand how components interact. Optimize for the whole system, not individual parts. Think about second and third-order effects.
Simplicity Over Complexity
The best solutions are often elegantly simple. Complexity is the enemy of shipping. Aim for minimal viable products that solve real problems.
Human-Centric AI
AI adoption fails when we ignore the human element. The challenge isn't building smarter models — it's building systems that work with how people actually think and behave.
Currently Exploring
AI Products That Respect Behavior
Building tools that work with human psychology, not against it. Exploring how behavioral science and AI can create products that actually get adopted and create lasting change.
The Future of Work
How do teams, organizations, and industries need to evolve for the AI era? Not just adopting tools, but fundamentally rethinking workflows and incentive structures.
PM Internship Search
Looking for summer opportunities where I can apply product thinking to real problems and learn from experienced PMs at companies shaping the future.