AndyCao's Blog
0%

Profile

  • EN
  • ABOUT
AndyCao portrait

AndyCao · Product Engineer / Indie Developer

A systems-minded builder working across AI, software, data, and hardware.

Basics

  • Location: Shenzhen
  • Education: B.Eng. in Polymer Materials and Engineering, Sun Yat-sen University; M.Sc. in Data and Systems Engineering, The University of Hong Kong
  • Focus areas: AI products, technical solutions, intelligent hardware, indie app development
  • Email: andy.caoyueyang[at]gmail[dot]com
  • GitHub: GreatAndyC
  • Website: caoyueyang.org

About

I work at the intersection of product thinking and engineering execution.

What matters most to me is not just understanding a technology, but turning it into a usable system or a real product. That usually means moving from research and experimentation to implementation, iteration, and delivery.

My work spans independent iOS app development, AI-assisted workflows, data analysis, embedded devices, robotics-related experimentation, and applied system design. I tend to approach problems by breaking them into smaller parts, validating assumptions quickly, and pushing toward something that is actually usable.

I am currently interested in full-time opportunities in AI product, technical solutions, and intelligent hardware.

Core Work

ShiguangJi: Building an iOS Product from Zero to One

  • Role: independent developer
  • Scope: research, product design, frontend and backend implementation, testing, launch preparation
  • Stack: Swift / SwiftUI, Supabase, AI food recognition APIs, UI/UX design

Master’s Research: Fatigue Recognition in Robot-Assisted Squat Training

  • Role: master’s research designer
  • Context: investigated how to recognize fatigue during robot-assisted squat training
  • Focus: combined subjective fatigue ratings (RPE), surface EMG signals, and platform-recorded kinematic data to compare how different indicators reflect fatigue
  • Why it matters: the work connects to rehabilitation training, intelligent exercise systems, and safer human-robot interaction, while also reflecting hands-on experience in experiment design, data collection, signal analysis, and research writing
  • Research post: Master’s Research: Fatigue Recognition in Robot-Assisted Squat Training

AI × IoT Experiments

  • ESP32 voice terminal connected to large-model APIs
  • Local STT pipeline for private speech-to-text workflows
  • Stable Diffusion experiments for image generation and visual styling
  • Practical deployment paths for using DeepSeek beyond the official app

Data and Automation

  • Product analysis of the ChatGPT Android app
  • Crawling and analyzing Xueqiu comments related to Duan Yongping
  • LLM-assisted structuring and visualization of public-interest datasets

Robotics and Systems

  • ROS / Gazebo / SLAM related simulations
  • Robot control experiments under nonholonomic constraints
  • Early reinforcement learning experiments for traffic-signal control
  • Multimodal fatigue recognition research with sEMG, velocity-based training, and subjective ratings

Skills

Product and App Development

  • Swift / SwiftUI
  • UI/UX design
  • product analysis and requirement decomposition

AI and Data

  • LLM API integration and workflow design
  • Stable Diffusion
  • Pandas / NumPy / SQL
  • Tableau

Robotics and Hardware

  • ROS / ROS2
  • Gazebo
  • ESP32 / Arduino
  • embedded prototyping and sensor integration

If you want to jump from the profile into the matching posts, start here:

iOS / Indie Development

AI / Hardware / Tools

Data / Research Notes

Outside Work

  • Photography: with a focus on landscape and event photography
  • Sports: swimming, running, gym training, basketball, hiking
  • EN
  • ABOUT