梁朝欽 Email & Phone Number

Lead a team to develop deep learning features for the Surveillance application, including:- Face recognition (face detection, tracking, and recognition)- License plate recognition (vehicle detection, plate detection, and recognition)- Vehicle counting (vehicle detection and tracking)Lead a team to develop features of Synology Active Insight, a cloud application monitoring the status of Network Attached Storage (NAS), including:- Backup status monitor- Login log analytics

Lead a team to develop deep learning features for the Surveillance application, including:- People and vehicle detection (by object detection and tracking)- Intrusion detection (by object detection and tracking)- Top-viewed people counting (by head detection and tracking)- Integration with Synology Surveillance Station, including real-time analytics, recording, live-view alert, and notificationImproved customer support service experience by:- Developing a document search engine for the support form of the official website using NLP and text mining techniques, resulting in a 15% decrease in tickets- Building an internal QA chatbot for support agents to quickly find documents for user problemsDeveloped various deep learning features in Synology Moments, including:- Auto correction for photo inclination- Photo color enhancement- Suggestions for beautiful photos- Search for similar photos

台灣 台北市

Developed deep learning features used in Synology Moments, the first album management application using deep learning techniques in the NAS industry:- Trained a deep learning model for recognizing scenes, objects, foods, and sports in photos- Integrated the deep learning model into the application- Improved model inference performance using OpenVINO- Implemented the UI and back-end API of Synology MomentsDeveloped the Synology Chat application, focusing on the UI part.Maintained the front-end and back-end code of DSM and FileStation of Synology NAS.

工學碩士, 資訊科學與工程學系

工學學士, Information Technology