During my service, I was working on both physical equipments and software development. I was working with mainly Arduino components, both system and non-system. Meanwhile, I was also assigned missions on the development of back-end of the auto-system for Interactive Media Art DepartmentKey Contributions:- Back-End Development: Developed e-mail 100% automation for AI system in Interactive Media Art Department.- Excel Automation: Leveraged Python for automating Excel forms, enhancing data management processes to extract data from 10,000-scale Excels forms.- Technical Support: Dedicated to providing reliable technical support in academic settings, fostering an optimal learning environment for peers.- Presentation Assistance: Offering technical expertise to enhance the quality of project presentations, ensuring impactful delivery.- Collaborative Problem-Solver: Actively engaged in cross-disciplinary collaborations, fostering innovative solutions through teamwork.

I had the privilege of participating in an Undergraduate Research Program focused on the advancement of clustering methods, with a particular emphasis on enhancing the existing K-Means and K-Median algorithms. Collaborating closely with my dedicated team members, we embarked on a journey to craft algorithms from raw theoretical principles with the primary goal of achieving a substantial reduction in time complexity, specifically in a multinomial context.Our endeavor culminated in the successful creation of these novel algorithms, ones that demonstrated exceptional promise in theory due to their impressive computational efficiency. However, to truly evaluate their worth in practical applications, we conducted rigorous empirical comparisons with established clustering algorithms. Regrettably, our findings led us to a sobering conclusion. While our theoretically captivating algorithms boasted a significantly reduced theoretical time complexity, the empirical results revealed a stark contrast. Their practical utility was severely compromised by their unexpectedly high empirical time complexity. This humbling experience illuminated the complex interplay between theoretical elegance and real-world applicability. It underscored the importance of bridging the gap between theory and practice, reminding us that a compelling theoretical foundation alone does not guarantee practical effectiveness. Our research thus contributed to a deeper understanding of the nuances and trade-offs inherent in the development of clustering algorithms.

Dedicated Computer Science major with a strong commitment to fostering student-professor interactions within the academic community. As a Python tutor, I thrived on empowering fellow learners to excel in their programming journey. My passion extends to conducting comprehensive review sessions and offering office hours to provide valuable support to peers.Key Areas of Expertise:- Student-Professor Collaboration: Committed to facilitating meaningful interactions between students and professors, creating a collaborative learning environment.- Design and Organize tutor sessions: Design livestream and in-person courses to help students better understand and perform programming. - Python Tutoring: Proficient in Python and equipped with the expertise to guide and mentor learners at all levels, promoting coding proficiency.- Academic Support: Conducting in-depth review sessions and providing accessible office hours to ensure academic success for fellow students.I was dedicated to contributing to the growth and success of our academic community

My work is building certain methods for the Customer Service Robot of the BOSS system for China Mobile. Responsibilities for BOSS System of China Mobile: - Contributed to the development and enhancement of the BOSS system for China Mobile, a critical and complex automated operational support system. -Ensure parts of the system's efficiency, reliability, and accuracy, aligning with the high standards of China Mobile's operational processes. My contribution involves the following, Seeking Relations Between Data: - Employed statistical methods to identify and analyze relationships within car sales dataset of scale over 10,000+ - Utilized ML techniques to model relationships between 13 features to provide insights for data-driven and decision-making processesDeploy Docker Images in the Development Environment: - Containerization by deploying Docker images in the development environment - Ensured integration and scalability of applications by utilizing containerization practices and optimizing resource utilizationOCR Image Marking: - Implemented Optical Character Recognition (OCR) technology to mark 400+ images - Contributed to the automation of data processing tasks, improving accuracy and reducing manual effort in image annotationClustering Algorithm Used to Organize the Robot Corpus Labels: - Implemented Word2Vec to organize and categorize 2,000+ robot corpus labels with 88% accuracy. - Enhance the efficiency and accuracy of labeling by 18%. Label Recommendation for Contracts: - Developed and implemented label recommendation systems using Deep Structured Semantic Model techniques - Enhanced contract management system providing intelligent label suggestions with 20% raise in accuracyComparison Algorithms for Contracts: - Designed and implemented algorithms for contract comparison, ensuring the accuracy of 10,000+ OCR results. - Enabled quick and precise contract comparison with 100% accuracy and 90% reduction in time.

My work is building certain methods for the Customer Service Robot of the BOSS system for China Mobile. Responsibilities for BOSS System of China Mobile: - Contributed to the development and enhancement of the BOSS system for China Mobile, a critical and complex automated operational support system. -Ensured parts of the system's efficiency, reliability, and accuracy, aligning with the high standards of China Mobile's operational processes.Includes the following,Neo4j Graph Database and MySQL Management:- Proficiently managed Neo4j Graph Database and MySQL, enabling seamless data organization and retrieval for the Customer Service Robot. Python Programming Expertise:- Leveraged Python for precise data extraction from MySQL and Neo4j databases of 1,000,000+ data, ensuring the availability of essential data for analytical processes. Python Hyper Text Management:- Demonstrated adeptness in managing hyper text using Python, ensuring coherent and user-friendly interfaces for the Customer Service Robot. Generating Documentation with Python:- Utilized Python to automate the generation of comprehensive documentation directly from MySQL and Neo4j databases- Achieved 100% accuracy and 50%+ reduction in time. Efficient Upgrading and Formatting Procedures:- Upgraded and formatted procedures with minimal time and space costs, optimizing operational efficiency without compromising system integrity.User Experience Enhancement:- Dedicated efforts to enhance the user experience on AI platforms, ensuring intuitive interactions and streamlined functionalities for end-users.Identifying Inefficiencies and Dysfunctions:- Diligently identified inefficiencies and dysfunctions on AI platforms, implementing strategic solutions to enhance system performance and overall user satisfaction.

- Interviewed 22 Cloud Mobile users on benefits and deficiencies of concerned version of Cloud Mobile.- Participated in interfaces design for 8 Cloud Mobile apps, including WeChat, QQ, and Red.- Joined conferences and proposed Cloud Mobile product applications in different scenarios.