Project Detail

Stitch3D

At Stitch3D, a B2B SaaS platform for LiDAR 3D mapping and data sharing, I led end-to-end design for three core features, contributing to $2M in projected revenue. I rebuilt the design system and implemented components using front-end code to ensure consistency and feasibility. Working in an agile team, I collaborated with business clients, PMs, and backend engineers to turn complex workflows into simple, effective solutions.

Design Engineering Intern

5 months

New York, NY

Feature 1 /

3D File Collaboration Panel

Our major business clients are seeking advanced 3D file sharing solutions with innovative tools to streamline the process. As the Design Lead, I collaborated closely with engineers to make the data visualization viewer more interactive. I implemented real-time collaboration features that allow users to markup, annotate, and add comments to point clouds alongside up to four other users, enabling a seamless and simultaneous 3D experience.

Feature 2 /

Georeferenced Mapping Simplification

One of my key roles was to translate complex geo and LiDAR functionalities into user-friendly workflows. My primary contribution involved creating tools within the interface that enable users to layer their georeferenced point clouds onto 3D satellite or street base maps, providing full context for their data. This feature is highly beneficial because Stitch3D automatically detects the point cloud's Coordinate Reference System (CRS) projection and aligns user data with precise accuracy. Additionally, I led the expansion of the reprojection design, allowing users to redirect or change their CRS as needed.

Feature 3 /

Revamped Toolbar and Dashboard for the 3D Viewer

I spearheaded the redesign of the toolbar and dashboard for the 3D viewer, enhancing the connections between each category in the panel to deliver valuable analytics, such as stockpile volume. With the improved volume tool, users can perform quick LiDAR scans to accurately forecast material revenue or costs, providing essential insights for decision-making.

rh692@cornell.edu