Building intelligent systems
that scale and deliver.
I studied Applied Data Analytics at Boston University and Computer Science at Bennett University. Before that, I cut my teeth at data consultancies in India, where I learned that clean models mean nothing if the delivery doesn't land.
Right now I'm at Droisys in Las Vegas, working across the full stack of an ML-powered surveillance system. I care about the craft — logging, observability, pipelines that don't break at 3am — as much as the models.
Outside of work I follow F1 with the same obsession I bring to a production incident — every sector time, every team radio. When I'm not watching races I'm usually deep in a film or a playlist, drawn to the kind of storytelling that trusts silence as much as noise.
Cinema is where I go to think differently. I'm drawn to films that treat silence as seriously as dialogue — where the frame itself is doing the storytelling.
Music is the background layer running under everything. The right album changes how a problem feels — I think in playlists as much as pipelines.
F1 is the only sport where engineering and instinct collide at 300km/h. I follow every race, every team radio, every sector time — and there's only one driver worth talking about.
Sketching and photography are how I slow down. I'm drawn to texture, contrast, and the quiet details most people walk past — the same instincts that make a good dataset interesting.
Florals
in Ink
Pen &
Paper
NEW YORK
BOSTON