Building tools with technical precision and calm clarity
I work across robotics, interaction, and design engineering, building systems where technical tools behave with the calm clarity of editorial objects.
My practice sits between prototyping, computer vision, and narrative research—turning technical processes into diagrams, interfaces, and small tools that people can actually use.
Lately, I’ve been exploring how soft technology can shape everyday behaviour: mixed-reality teleoperation, open-vocabulary one-shot 6D pose pipelines, interaction systems for young children, and speculative studies around food and ecological futures. I’m interested in how engineering, storytelling, and interface logic can share the same grid—precise, but not cold.
I currently study Design Engineering at Imperial College London. Outside of robotics, I play guitar, bass and make small music sketches—sometimes ambient loops, sometimes riffs for friends or our band. I treat music a bit like prototyping: layering, refining, and listening for behaviour. It’s a space where ideas stay loose, and where technical work finds a quieter rhythm.
Get in Touch
London, 2025
Skills & Expertise
Robotics & Hardware
- ROS / ROS2
- Arduino / ESP32
- Sensor Integration
- Motor Control
- 3D Printing & CNC
Computer Vision & AI
- OpenCV
- PyTorch / TensorFlow
- 6D Pose Estimation
- Object Detection
- Depth Sensing
Design & Prototyping
- Figma
- Blender
- SolidWorks
- Adobe Creative Suite
- User Research
Development
- Python
- JavaScript / TypeScript
- React / Astro
- C++ (Arduino)
- Git & CI/CD
Experience
Individual Researcher — Certified Safe UAV Navigation
Systems and Algorithms Laboratory · Imperial College London · Supervised by Dr David Boyle
Building a certified safety layer that lets a quadrotor fly the fastest safe go-around near moving pedestrians: Kalman-predicted obstacle trajectories, an EGO-Planner backbone, and a Bernstein / de Casteljau continuous-time collision certificate. Zero collisions across 304 certified flights on a 38-scenario MetaUrban benchmark; first-author manuscript in preparation.
Undergraduate Teaching Assistant, Electronics 1
Imperial College London
Ran first-year lab sessions, helped students debug analogue and digital circuits, and marked lab work with individual feedback.
Research Assistant — Humanoid Robotics
Central Research Institute · Midea Group · Foshan, China
Built a Vision Pro–based mixed-reality teleoperation system and an open-vocabulary 6D pose estimation pipeline (GroundingDINO, SAM-HQ, DINOv3, FoundationPose). Generated synthetic training data in Blender and deployed the π0.5 Vision-Language-Action policy for tasks such as pouring water and picking fruit.
Embodied Intelligence Intern
Laboratory of High-end Heavy-load Robots · KUKA Robotics
Implemented oven-door manipulation and screw-tightening tasks using stereo depth and disparity. Integrated self-developed robots into reinforcement learning environments (RoboCasa, Isaac Gym, MuJoCo) and developed ROS monitoring & expressive feedback interfaces.
Bassist
Melon Band · Imperial College London
Perform each term as the band’s bassist. Designed an internal rehearsal-scheduling algorithm to improve availability and coordination across members.
Race Manager
Motorsports Society · Imperial
Managed Imperial’s BUKC 24-hour team: pit-stop strategy, ballast adjustments, driver rotation, and real-time optimisation during the endurance race.
MEng Design Engineering
Imperial College London · Dyson School
Working across robotics, AI perception, and interaction systems. Coursework and self-initiated projects span teleoperation, 6D pose pipelines, and computational design tools.