Cloud Computing R&D TeamCurrent status:- Design and develop the new features for enhancing the Anti-Spam, Anti-APT-URL and Anti-BEC productsProjects:- Refactored URL filtering product, including on-premise and cloud backend services, for better extensibility to meet the rapidly changed user requirements- Re-implement the on-premise URL filtering service (Python)- Designed and implemented the cloud service for supporting the on-premise URL filtering service (tech stack: Node.js, Redis, GCP, GKE(K8S))- Developed ML-based URL lexical features phishing detection backend service to support the Anti-Spam product (Python)- Developed a webpage collecting and labeling ecosystem for supporting the ML-based URL webpage features phishing detection backend service, which enhances the real-time detection rate of Anti-APT-URL product (tech stack: MongoDB and Python)- Co-designed and co-developed the Anti-BEC product by using hybrid approaches, including traditional ML, pre-trained language model and deep learning, fuzzy matching

Backend R&D Team- Proposed and planned the new functionalities of URL filtering product line of email gateway, which focus on the enhancement of the time-of-click scenario- Implemented the new functionalities of on-premise URL filtering services- Co-proposed the Invention Patent: METHOD FOR WARNING AN UNFAMILIAR EMAIL to provide an approach for defending the threat of business email compromise

Backend R&D Team- Designed and developed on-premise and cloud service to support our URL filtering features of email gateway.