Building AI that
makes the complex
feel simple.
I'm Vikas Soni — a full-stack engineer with fifteen years of experience. I turn messy, real-world problems into AI products people actually use, starting with healthcare that everyday Indian families can understand.
Why I build
Technology should
meet people where
they are.
For most of the last fifteen years I've been the person who makes complicated systems work — across full-stack web, cloud, microservices, and large engineering teams. I've shipped products end to end and led the people who build them.
Somewhere along the way I realised the most interesting problems aren't technical at all. They're about people staring at something they can't make sense of — a lab report, a prescription, a form, a process meant to help them.
AI finally makes it possible to close that gap at scale, in plain language, in a way that respects how real families actually live. That's the work I care about, and that's what I build toward.
SimpleRx
AI Family Health, in plain languageAn AI app that turns dense lab reports and prescriptions into clear, plain-language explanations anyone can follow. Built for Indian families — and for NRIs caring for parents from afar. Live on Google Play, with more than 500 people already using it to make sense of their health.
A few principles I
keep coming back to.
Solve a real problem first
Before scaling anything, I want proof that one person's life got measurably easier. Traction over theatre.
Build in the open
I share the messy middle — what worked, what broke, what I'd do differently. The learning compounds when it's public.
Engineering meets empathy
Fifteen years of rigour behind the scenes, but the user only ever feels clarity. Both have to be true.
Built for the next billion
If it works for a family in a tier-two Indian town, it works anywhere. I design for Bharat, by default.
Fifteen years of shipping,
leading, and learning.
I write about building
AI products in public.
Engineering craft, lessons from shipping SimpleRx, and what it takes to build technology for the next billion users. Most of it lives on LinkedIn.
Building something at the
intersection of AI and
real-world problems?
I'm always happy to compare notes with fellow builders, founders, and engineers working on AI that matters.