– Engaged in a LLM application for managing dialogues, and Q&A functions by OpenAI models.– Developed backend services by Python, Flask and Firebase; built front-end by Svelte and JavaScript.– Collaborated to design API specifications and integrated third-party services using AJAX and Fetch API.

-Project Management and Communication: Conducted research and development initiatives for the financial system New Century (NC) and the human resources management system e-HR. Collaborated closely with cross-functional teams to analyze system requirements and align software enhancements with strategic business objectives. -System Architecture Development: Applied principles of the software development lifecycle and object-oriented programming to enhance system architecture and functionality. -Server Configuration and Maintenance: Orchestrated the configuration of server environments for both NC and e-HR systems, deploying on dual servers using vertical cluster modes for enhanced performance and reliability. Championed the adoption of ROSE HA dual-computer software for cluster switching, significantly reducing the system's standby switch time to under 5 minutes and maintaining high availability.-Technical Skills and Tools: Gained proficiency in server management, software debugging, and data normalization processes. Developed a solid foundation in using project management databases and collaborative tools, contributing to software solution developments and updates.

– Orchestrated the seamless release and quality assurance of multiple Tencent mobile games across diverse platforms, utilizing JIRA for issue tracking and Jenkins for automated testing.– Led public beta tests and conducted post-launch monitoring via MySQL, achieving a 99.8% server uptime.– Utilized Python for real-time extraction of user statistics and leveraged Tableau for analytical visualization; Combined these insights with user feedback and gameplay metrics to drive targeted game enhancements, culminating in a 16% improvement in user satisfaction ratings for subsequent releases.

– Conducted revenue-focused analytics on Baidu Wenku using Python, SQL, and Tableau.– Employed machine learning algorithms and statistical models to identify key performance metrics, unearthing a 17% opportunity for improved user targeting.– Leveraged Hadoop and Spark for data management, and integrated a TensorFlow-based recommendation engine to dynamically fine-tune ad content based on specific user behavior profiles captured through Google Analytics, resulting in a 12% increase in user retention and a 24% boost in click-through rates.