Ellis

PORTFOLIO / RESUME

Ellis

Graduate Student in Intelligent Construction & Construction Robotics

Well-versed in construction scenarios, with a focus on construction robotics, visual algorithm development, and AI large models. Experienced in end-to-end product lifecycle management—from 0-to-1 product definition and development to successful project deployment. Passionate about AI product development and proficient in building AI workflows.

Research & Course Projects

Automatic Spraying Robot Based on Construction Suspended PlatformEntrepreneurship

2025.02 - Present

Automatic Spraying Robot Based on Construction Suspended Platform

To address challenges such as an aging workforce and high-altitude construction risks, we developed an unmanned automated exterior wall spraying robot based on a suspended platform. This system efficiently replaces manual high-altitude operations without disrupting existing construction workflows, effectively shortening project timelines and reducing costs.

  • Third Prize, 1st China Graduate Smart Construction Innovation Competition
  • Best Design Award, XbotPart Smart Construction Training Camp
Research on Multi-Target Recognition Algorithms for Exterior Wall Spraying ScenariosResearch

2025.12 - Present

Research on Multi-Target Recognition Algorithms for Exterior Wall Spraying Scenarios

Developed a lightweight semantic segmentation model tailored for exterior wall construction scenarios and deployed it on edge devices, enabling real-time multi-target recognition in outdoor spraying operations.

Design of a Portable Robot Control CabinetEntrepreneurship

2025.07 - 2026.08

Design of a Portable Robot Control Cabinet

Completed the design, 3D modeling, and assembly of an electrical control cabinet using SolidWorks, and generated detailed engineering drawings for manufacturing.

Coursework

2025

AI Programming Mini-Games

AI programming mini-games built with zero-code tools and deployed to mobile devices.

2024

Machine Vision Coursework

Complete image restoration and 3D reconstruction using OpenCV, and deliver a course report along with a demonstration video.