Product & technology leader / builder
I’m Pranshul Chandhok. I build product systems where applied AI, realtime 3D, and professional workflows meet. For 14+ years I’ve worked across games, XR, design software, and AI, leading teams while staying close to the systems themselves.
Five projects spanning design systems, applied AI and immersive training. Each page explains the product and my contribution.
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At Interior Company, part of Square Yards · 2024
A browser-based interior-design system connecting spatial planning, product choices, pricing, quality checks, and production handoffs.
My roleProduct and technology leadership
Read about the projectBuilt as part of my current product leadership work · 2026
AI design studio for spaces. A focused workspace for exploring room directions, revising existing spaces, moving from sketches to renders, and communicating ideas through images and 360° experiences.
My roleProduct and technology leadership
Read about the project
Initial MVP delivered to PropVR’s team · 2026
I built the initial 22-tool AI MVP across five workflow studios. PropVR’s team used that product and technical foundation to develop Craft, a public creative platform for AEC workflows.
My roleProduct architecture, interaction model, technical foundation and initial implementation
Read about the projectCommercial design-technology platform · 2021
At HomeLane, I worked as principal software architect on SpaceCraft Pro, connecting its real-time room editor to pricing, CAD, and manufacturing workflows.
My rolePrincipal software architect
Read about the projectEnterprise client work · 2016
At GreyKernel, I led technology across immersive client projects, including JPMorgan Chase’s Mumbai lab for onboarding and training, Anglian Water training software, and VR empathy exercises in Singapore.
My roleCo-founder and CTO
Read about the projectA generated image can start a conversation. The product needs to keep track of the room, the constraints and the choices someone has already approved.
In Designesto, that means revising a space without losing its intent. In Blocks, a design choice has to stay connected to dimensions, price and production. The initial PropVR AI MVP organised specialist tools around the task and the next decision.
Read the product argumentA source-grounded look at a floorplan pipeline: where structured output helps, how file-based resume can fail, and which validation mechanisms still belong in the next version.
Designesto, Blocks and the PropVR AI foundation show three different places to draw the boundary between open-ended generation and decisions a product must preserve.
In design software and AI tools, I keep coming back to a practical question. Can someone change the result without having to start over?
