A Machine Learning and Computer Vision Engineer turned Product Leader in Women’s Digital Health.
Experience
Lollitech (Femometer) — Co-Founder, Technical & Product Director
Hangzhou, China · 2016 – Present
Biosensors Algorithm Development
- Basal Body Temperature (BBT): Built predictive models on large-scale BBT curves, reducing average measurement time from 3+ minutes to under 1.5 minutes.
- Hormone (LH/HCG) Detection: Designed a mobile strip-reading system (OpenCV + CNNs) with >95% accuracy for hormone level detection from smartphone photos.
- Wearable Health Metrics: Led the algorithm team for the Femometer Smart Ring, developing algorithms for sleep staging, steps, HRV, and stress monitoring.
Women’s Cycle Tracking Systems
- Implemented a hybrid ovulation detection & prediction framework (rule-based Sensi-Plan + SVM classifiers) for current-cycle ovulation detection and future-cycle prediction.
- Built an intelligent insights platform for fertility and cycle analytics, powering premium subscription features for period tracking, conception support, and pregnancy use cases.
Leadership & Product Management
- Directed the Femometer Fertility Tracking App, driving subscription innovations and user growth to 10M+ users with a 4.9 app-store rating.
- Led end-to-end development and launch of the Femometer Smart Ring (strategy, hardware/software/algorithm R&D, and go-to-market); achieved $1M in revenue in the first 12 months.
- Recognized with Special Technical Contribution Award (2016) and Excellent Management Award (2019).
Alibaba Group — Senior Algorithm Engineer
Hangzhou, China · 2015 – 2016
- Led development of risk control models for Ant Financial’s consumer credit products, serving 500M+ users.
- Improved key risk metrics, raising AUC from 77.73% → 80.75% and KS from 40.58% → 45.67%.
Sogou Inc. (Acquired by Tencent) — Research Associate
Beijing, China · 2012 – 2015
- Optimized language modeling for Sogou Pinyin Input Method, used by 300M+ users.
- Received the “Sogou Technical Excellence Award” twice for outstanding technical contributions.
Education
Zhejiang University — Master of Engineering, Computer Science
Applications in Computer Vision
Hangzhou, China · 2009 – 2012
Zhejiang University — Bachelor of Engineering, Computer Science, GPA: 3.8 / 4.0, Top 5%
Hangzhou, China · 2005 – 2009
Carnegie Mellon University — Visiting Scholar
Pittsburgh, PA, USA · 2010 – 2011
Publications
- F. Xie, Y. Shen, X. He. “K-way Min-Max Cut for Image Clustering and Junk Images Filtering from Google Images.” ACM Multimedia, Firenze, Italy, 2010.
Skills
Technical Domains
- Machine Learning & Data Mining
- Computer Vision
- Natural Language Processing
- Biosignal & Wearable Sensing Algorithms
Programming
- C / C++
- Python
- Java
- Matlab
Languages
- Chinese (Native)
- English (TOEFL: 103)
Awards & Honors
- Excellent Management Award, Femometer (2019)
- Special Technical Contribution Award, Femometer (2016)
- Sogou Technical Excellence Award ×2, Sogou Inc (2014)
- Excellent Graduate Award, Zhejiang University (2012)
- Excellent Undergraduate Thesis Award, Zhejiang University (2009)
- National Scholarship, Zhejiang University (2007)