00 GEOSPATIAL AI · ML ENGINEER

SANAT
LADKAT

I've spent years learning to see space clearly: a building, then a screen, now a satellite. The eye stayed the same. Only the canvas kept changing.

BACKGROUNDB.Arch → M.Des → M.Tech, Data Science
BUILDINGAI/ML for geospatial data
BASED INPune, India
OPEN TOGood conversations: people, problems, or capital worth believing in

KEEP SCROLLING. IT GETS BETTER.

ARCHITECTINTERIOR DESIGNERPHOTOGRAPHERCOMPUTATIONAL DESIGNERPRODUCT DESIGNERML ENGINEER ARCHITECTINTERIOR DESIGNERPHOTOGRAPHERCOMPUTATIONAL DESIGNERPRODUCT DESIGNERML ENGINEER
01 HOW I GOT HERE

Three schools.
One obsession.

Architecture taught me to see space. Design taught me to shape it. Data science taught me to scale it.

01 · Architecture

Learned how to shape spaces that aren't just functional, but also evoke emotion and enhance human interaction. It taught me how to think spatially, prioritize user needs, and find beauty in every detail.
B.ARCHSPATIAL THINKING

02 · UX/UI Design

Discovered how digital experiences can be just as impactful as physical spaces. Became obsessed with creating user-centered solutions that are not only functional but also engaging and seamless.
M.DESUSER-CENTERED

03 · Data Science

Wanted to harness the power of data to solve real-world problems in innovative ways. Gained the skills to transform complex data into meaningful insights and intelligent systems.
M.TECH, DATA SCIENCEAPPLIED ML

Now · Geospatial AI

Now, as a Machine Learning Engineer, I'm in my element, combining everything I've learned. Developing computer vision models and applying machine learning to real problems, I'm constantly inspired by how technology can solve them in creative and impactful ways.
COMPUTER VISIONGEOSPATIAL AI
02 IN MY OWN WORDS

The most powerful
technology is the one
that truly serves people.

What excites me most is the opportunity to keep learning and growing: blending my love for design with the endless potential of data science and AI to make a real difference. Architecture, design, and machine learning weren't separate detours. Each one did the same job on a different material: understand the space, then build something that actually serves the people in it.

03 THE PHILOSOPHY

Learn. Unlearn.
Relearn.

Jack of all trades, master of some, was never an insult. It's the only way to stay useful when everything worth knowing keeps changing.

It started with buildings: an architect's eye for how a room breathes, then an interior designer's eye for how a room feels. Somewhere in there, a camera showed up, and photography and videography became just another way of asking the same question: what makes a space worth looking at?

Then the tools changed again. Parametric architecture and computational design turned that same eye loose on code, drawing buildings out of algorithms instead of a pencil. Product design followed close behind: shaping things people could hold in their hands, and things they could only tap on a screen.

The latest stop is an AEC startup, teaching software to do something an architect usually does slowly by hand: read a floor plan and turn it into a full BIM model. Different tool every time. Same question, asked five different ways.

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04 CONTACT

If this sounds like
your problem too,
let's talk.

Collaborators. Hard problems. People who want to build something that outlives a demo day. That's who I want to hear from.