AI IoT Skin Diagnosis Platform — Co-Founder & CTO
Co-founded and served as CTO of a medical AI startup, leading a 7-member cross-functional team through full 0-to-1 product development and B2B commercialisation. Served as technical spokesperson in enterprise hospital and clinic sales engagements and multiple VC/PE investor roadshows — landing 20+ hospitals, 200+ cosmetic clinics, and 3,000+ doctors, generating ¥1.2M in hardware sales revenue.
Project Overview
Shanghai Fuhuan Science and Technology Ltd.
Visit Shanghai Fuhuan Science and Technology Ltd. official website for more information
Product Demo Video
Early prototype development video: Complete product workflow demonstration from device detection to personalized skincare recommendations
Project Overview
As Co-Founder and CTO of Shanghai Fuhuan Science and Technology, I led a 7-member cross-functional team to build an AI-powered IoT skin diagnosis platform from concept to market. Beyond the technical build, I served as the company's technical spokesperson — delivering product demonstrations to hospital administrators and clinic procurement teams, and presenting technology vision, market differentiation, and business opportunity to venture capital and private equity investors in multiple fundraising roadshows.
Over an 18-month product lifecycle, I led the team in building the complete stack — from IoT hardware devices and embedded systems through cloud-based AI diagnostic algorithms to WeChat Mini Program and React web applications. The go-to-market execution landed 20+ hospitals, 200+ cosmetic clinics, and 3,000+ registered doctors, generating ¥1.2M in hardware revenue and accumulating 100K+ facial data entries and 40K+ WeChat followers.
Core Technical Features
Designed and manufactured professional skin detection devices integrating high-precision cameras, multi-spectral LED lighting systems, and embedded processing units (STM32/Raspberry Pi). Devices support real-time image acquisition, preprocessing, and cloud transmission — hardened for clinical environments with accuracy and consistency requirements.
Built AI diagnosis platform on Alibaba Cloud serverless architecture with deep learning algorithms for automated skin condition detection (acne, pigmentation, wrinkles), serving 20+ hospitals and 200+ cosmetic clinics with 40,000+ patient records. Microservices design enables high scalability and fault tolerance.
Developed deep learning algorithms (TensorFlow, OpenCV) for automated skin condition detection across multiple categories. Continuous learning pipeline improves diagnostic accuracy with data accumulation — 100K+ facial images collected across clinical deployments.
Developed WeChat Mini Program and React web application for device control, diagnosis result visualization, historical comparison, and personalized skincare recommendations — enabling 3,000+ registered doctors to access AI-assisted diagnostic tools through familiar channels.
B2B Commercialisation & Startup Leadership
Partnered with the sales team as technical advisor in customer engagements, delivering product demonstrations and technical presentations to hospital administrators and clinic procurement teams. Managed technical objection handling and POC evaluations across 20+ hospital and 200+ clinic sales cycles.
Served as the company's technical spokesperson in multiple investor roadshows, presenting product vision, technology differentiation, competitive landscape, and market opportunity to venture capital and private equity audiences.
Market Impact
The commercialisation execution proved product-market fit across both the clinical and beauty channels: 20+ hospitals and 200+ cosmetic clinics in the customer base, 3,000+ registered doctors, and ¥1.2M in hardware sales revenue. The data moat accumulated (100K+ facial images, 40K+ WeChat followers) created defensible competitive advantages and a strong brand presence in the precision skincare market.
“Building a medical AI startup taught me that technology alone doesn't win customers — you earn clinical trust through precise demonstrations, navigate complex procurement with multiple stakeholders, and tell compelling stories to both customers and investors. The engineering and the sales are equally demanding.”
Key Achievements
Tech Stack
IoT & Hardware
AI/ML
Backend
Frontend
Cloud
DevOps
All data, metrics, screenshots, and demos shown are based on publicly available information or anonymized data.