1. Developed a high-traffic online slides sharing website using Python and Flask, deployed with containerized technology, resulting in an enterprise AI knowledge management platform attracting over 3,000 daily visits. 2. Engineered an online incident management platform using Python and Flask, deployed via containerized technology, enabling simultaneous editing and viewing by thousands of users, enhancing security incident response efficiency. 3. Developed a User and Entity Behavior Analytics (UEBA) system that gathered logs from endpoint monitoring software on computers with USB read/write access, analyzed anomalous employee behavior using Bayesian classifiers, and generated audit reports in Security Information and Event Management (SIEM) for further investigation. 4. As an internal lecturer, conducted training sessions for over 50 colleagues in fundamental Python syntax and programming logic.

1. Implemented an open-source email security gateway, developed a Perl plug-in to integrate blacklist intelligence, and trained a Bayesian classifier model to detect and block over 1,000 malicious emails per month. 2. Implemented a Data Loss Protection (DLP) system in Linux environment, formulated and regularly audited system policies to protect confidential R&D data. 3. Implemented an Intrusion Detection System (IDS) for network traffic detection and protection based on the MITRE ATT&CK framework, developed and regularly audited system policies, and collaborated daily with IT units to investigate high-risk events. 4. Utilized Splunk to collect data and establish a Security Information and Event Management (SIEM) system for auditing abnormal employee behavior, with regular reviews and policy amendments to prevent data leakage. 5. Developed a physical security protection system, established a Python TensorFlow object detection model, trained to identify physical security anomalies, and achieved a 90% detection rate. 6. Developed PowerShell scripts to enable batch transfer of sensitive data in the R&D environment, saving nearly 8 man-days per month. 7. Built an information security e-newsletter publishing system, crawl the content of various news websites through Python Selenium, and publish the content to the enterprise portal through Robotic Process Automation (RPA), saving nearly 1 man-day per month.

1. Engineered a high-availability Automated Optical Inspection (AOI) system using OpenCV and Keras, deployed through Python Flask. This system achieved significant quality improvements by inspecting over 30,000 wafers daily for visual abnormalities. Seamless integration with Oracle DB and Microsoft SQL Server DB ensured robust data management and operational efficiency. 2. Developed a Manufacturing Execution System (MES) subsystem using .NET for manual inspection of AI-reported wafer appearance abnormalities, reducing QA manpower by one man-month each month. 3. Maintained a high-availability external system interface for command exchange with the MES using Microsoft Message Queuing and .NET, processing over 5,000 commands daily. 4. Maintained a Hadoop cluster of over 100 Linux hosts, assisting in troubleshooting, deploying new applications, and monitoring system status using Elastic. 5. As an internal lecturer, conducted training sessions for over 200 colleagues on Keras object detection model application development.