Fang-Lin He Email & Phone Number

St. Gallen, SG, CH

Activities / achievements other than taking a career break* 🇩🇪 Learned German: - Took German B2 intensive courses - Took "Diskutieren und Präsentieren auf Deutsch; B2-C1" course at UZH - Passed TELC B2 exam with "Sehr Gut" level achieved* 🥌⛷️ Learned new sports: Curling and skiing * 🗣️ Learned basic LLM: "Generative AI with LLMs" on DeepLearning.ai* 👩‍🎓.

Menlo Park, CA, US

6DOF object detection and tracking.

Kreuzlingen, Thurgau, CH

Captural merged with Ifolor Zürich AG in August, 2021. Continuing work on Machine Learning and Computer Vision topics. Continued developing our cross-platform CVML library and made PoC on Windows, Android, and iOS platforms.

• Categorizing and searching photo libraries and smart photo editing:
• Designed and implemented ML data pipeline, CV & ML algorithms and models for object and scene classification, face clustering, and recognition of topics and protagonists in photo albums (Python, PyTorch, scikit-learn.
• Ported CV & ML algorithms for on-device execution and developed iOS and Android prototype apps (Swift, Objective-C, CoreML, ONNX, Java, TFLite)
• Productized CV & ML algorithms in the form of cross-platform library: API design, automatic generation of language bindings, CI/CD pipeline with 95% test coverage and automatic releases (Modern C++, Azure DevOps)

• Scene understanding with Deep Learning for smart signage solutions
• Collaborated with ETH Zurich to develop multi-task-learning model for bodyskeleton, face, age and gender detection (Python, PyTorch)
• Optimized body skeleton model inference time by 78% without affectingaccuracy (Python, TensorFlow, TensorRT)
• Converted Deep Learning models from TensorFlow, MxNet, PyTorch to ONNXfor deployment; deployed models with TensorRT (Python, ONNX, TensorRT)
• Implemented incremental DBSCAN clustering to speed up face cluster updateby 1 order of magnitude; implemented method for tracking multiple people jointly with two cameras (Modern C++)

徐汇区, 上海, CN

• Designed DL model for real-time age estimation with average error of 6 years and far-distance gaze direction estimation with average error of 30° (Caffe)
• Developed musical game controlled with facial expressions detected by ML model (Modern C++, Qt)

Taoyuan, TW, TW

Built RCNN-based object detector to detect and recognize smart phone devices: labelling tool, data preprocessing, model training and deployment. (Python, Caffe)

• Planned, designed, and implemented OEM project "Virtual Design Center" to layout furniture in real world using augmented reality technology, running on Windows, Android & iOS platforms (C#, Unity)
• Gave several education training sessions to universities students, staffs, and professors; topics including Unity 3D, hardware installation and usage of various products

Diploma Of Advanced Studies In Data Science, Machine Learning And Artificial Intelligence

Master Of Science In Engineering (Mse), Information And Communication Technologies

Master Of Science (M.S.), Computer Science And Information Engineering

Bachelor Of Science (B.S.), Computer Science And Information Engineering