My Story
I have a degree in Mechanical Engineering. I was part of SAE in college, but if I'm being honest, I never became the mechanical engineer on paper. What I did take away was something more valuable — a way of thinking. How to break down complex problems. How to look at a system and understand what makes it tick. That mindset followed me everywhere.
My career started at Infosys, where I got into enterprise technology and joined the Robo Gear Club on the side (old habits). From there, I moved to Deloitte — where I worked on integration architecture and consulting, building the invisible plumbing that connects healthcare systems, US government platforms, and large enterprise applications. I picked up certifications along the way — MuleSoft, Azure, IBM, Salesforce — not for the badges, but because I genuinely wanted to understand how these ecosystems work at their core.
Today I'm a Forward Deployed Engineer at Salesforce, building AI with enterprise customers. I also completed Stanford's courses in NLP and Deep Learning, because I believe the next wave of enterprise technology is AI, and I want to be building it, not just reading about it.
That's why I'm building 10+ AI-powered products on my own time — an Ayurvedic health app, tax automation for accountants, AlphaMa, an AI for the mental load of motherhood, a privacy-first form filler, kids' learning apps, and more. I ship fast, think in systems, and believe AI should solve real problems for real people — not just impress at demos.
Oh, and I'm doing all of this as a mom of two — a 3-year-old and a 3-month-old. My maternity leave turned into the most productive building season of my life. I also write about what it's like to navigate career, motherhood, and AI all at once — because I think more people should talk about it honestly. No filters. No “I have it all figured out.” Just a woman building things that matter, one nap time at a time.
