
I'm Srikanth. I write AIDIWAS in whatever time is left after building things, which some weeks is a lot and some weeks is none.
I started as a fresher at Infosys, automating banking modules and learning the fundamentals of writing software that other people actually have to rely on. From there I went to Futures First, doing quantitative trading, which taught me that markets are just very fast, very expensive arguments about probability. That is not a bad description of product strategy either, though nobody margin-calls you for a bad roadmap. Then came Guavus, wrangling Hadoop clusters and big data pipelines, and MobileIron, debugging certificate management and security code for a living. Nothing teaches you humility like a 3 a.m. page for a system you swore was fine.
Somewhere around there I decided the interesting decisions were happening one level up from the code, so I went to ISB Hyderabad for an MBA to go make them myself. What followed was a decade of product roles: shipping Bixby experiences at Samsung, then building the digital wallet products behind PayPal's 250M+ active customers, and finally leading commerce data and Gen AI platform work as a Principal PM at Microsoft.
Microsoft, in particular, deserves more than a résumé line. Four years there taught me what a genuine concentration of smart, hardworking, generous people actually looks like, and how much further you go when the person next to you is quietly excellent at their job and happy to teach you theirs. I got to work across different cultures, time zones, and ways of thinking, and I'm genuinely grateful for it. Those are the kind of memories you keep, not the ones you put on a slide.
But the world is an oyster full of opportunities, and I got increasingly restless watching AI reshape the ground under every product decision I was making. The window to build an edge with it closes a little more every year, and comfortable is not the same as right. So I took the plunge into entrepreneurship: loaded with bias for action, ready to trade the safety net for uncertainty, and genuinely excited to be challenged again.
That's the long way of explaining why I started MavelsTech, where I'm Founder and Director, building AI systems across consumer and enterprise products. EduGenius, bringing personalized AI-powered learning to K-12 students, is one of those ventures, and it is not the only one in the works. A few more are still taking shape behind the scenes, which is a nice way of saying I can't talk about them yet, but the ambition is the same everywhere: build things that genuinely help people learn, grow, and get better at what they do.
Running something on your own, or with a scrappy team, which is arguably harder, is a genuinely different kind of hard than shipping inside a company with a brand name doing the heavy lifting for you. I have a lot of respect for anyone doing it, and not much patience for advice from people who haven't. Building EduGenius taught me more about accountability than any performance review ever did: when the outage pages you at 3 a.m. and you're also the one who has to explain it to a customer, ownership stops being a value on a slide and starts being just Tuesday.
AIDIWAS is where I write that learning down in public. Not as a highlight reel, but as an honest record of what got built, what broke, and what I'd tell a friend trying the same thing. If it saves you a weekend of trial and error, or hands you a real tool to practice with, that's the whole point. Learning and skilling up shouldn't be a solitary, gatekept process, and growth usually comes from being accountable for the outcome, not just the effort.
Every tool in the playground runs entirely in your browser: free, no sign-up, nothing sent anywhere.
I'm also always on the lookout for hardcore talented people: passionate, creative, honest, and a little stubborn about doing things properly, to learn from and build alongside across these ventures. If that's you, or if you're building, operating, or wrestling with a hard decision and want another perspective, reach out via /contact.