Full-stack builder retraining as an AI & data scientist. Same discipline, new gym — I ship code the way I train: consistently, and a little stubbornly.
“Fail me in any field — I won't quit. I'll learn it, master it, and turn it into a business.”
// personal operating principle
Available now
I spent the last several years shipping software end to end — founding Precise Technology and Research Center, architecting the Maya Super App used across Nepal for rides, delivery and payments, and building ride-sharing platforms from the ground up. I know what it takes to take a product from a whiteboard sketch to 20,000+ real users.
Right now I'm trading feature backlogs for loss curves. I'm studying for a Master's in Data Science and putting in the reps — daily practice with Python, machine learning and data problems — to move into an AI/ML role where engineering instinct actually matters.
Outside of code, I train like I ship: consistently. Boxing and the gym keep me sharp and patient — useful for debugging a model at 1am. Swimming clears my head. Travel and cycling keep me curious about problems worth solving. Train hard, ship harder, enjoy the ride.
A client walks through their experience working with me as a Flutter developer — straight from delivery, no script. It's the kind of feedback that's easier to trust than a written blurb.
Want the fuller picture behind it? Scroll back up to the Journey section for the shipped work this feedback is about.
Strength work, most days of the week. It's where discipline gets built before it shows up anywhere else.
Footwork, patience, staying calm under pressure — turns out that transfers directly to debugging at 1am.
The one hour a week with zero notifications. Best debugging tool I own is a pool with no wifi.
Solo rides on the way to somewhere new — half exercise, half thinking time.
New cities, new food, new ways people solve the same problems. Keeps the curiosity tank full.
Reading and gaming on rotation — different genres of problem-solving, same appetite for it.
// hover or tap a pin to see the trip
One trip is locked in — the rest is the working list, filled in with target cities as flights get booked.