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Phone: +886988772529 | Email: [email protected] | LinkedIn: boguanjhou | GitHub: NeoJay0705
National Taiwan Normal University
M.S. in Computer Science & Information Engineering Sept. 2017 - June. 2019
National Chin Yi University of Technology
B.S. in Electronic Engineering Sept. 2011 - June. 2015
Programming: Java, Go, Python, C++
Web Development: Spring Framework, PostgreSQL, MySQL, Redis, MongoDB, Elasticsearch, RabbitMQ, Kafka, XXL Job, Microservices, Non-blocking IO (Netty), gRPC, Dubbo RPC, ELK Stack, Vue.js
DevOps: Docker, Kubernetes, GCP, GitHub, GitLab, Shell Scripting
Others: Git, Design Patterns, Clean Architecture, Machine Learning, Tensorflow, NLP
Gram
Backend Software Engineer Oct. 2022 - Oct. 2024
• Developed an MVC framework using Java Reflection, allowing selective implementation of methods under shared URLs, thus avoiding the need for full interface implementation.
• Resolved concurrency issues in the transfer system, streamlined transfer data flow, and enhanced system stability.
• Optimized the reporting generation process to simplify development steps and improve efficiency.
• Implemented byte-based pagination on FTP, enhancing data access performance.
• Ensured strong consistency in transactions within a distributed environment to maintain data integrity.
• Applied design patterns to abstract business logic, reducing repetitive code and improving testability and maintainability.
International Integrated Systems, Inc.
Software Engineer Oct. 2019 - Sept. 2022
• Optimized complex SQL queries to enhance processing speed and efficiency.
• Streamlined the CI process to enable automated Git merge operation.
• Developed a binary search-based logger to improve large file download speed.
• Automated operational workflows by creating key scripts in Java.
National Taiwan Normal University
Graduate Student Sept. 2017 - Aug. 2019
• Natural Language Processing (NLP) Research Project: Focused on sentiment analysis to automatically identify positive or negative sentiments from user reviews.
• Deep Learning Model Application: Utilized Convolutional Neural Network (CNN) architecture to enhance the accuracy of sentiment classification.
• Word Embedding Techniques: Conducted in-depth research on word embedding techniques to improve semantic understanding in text representation, strengthening model outputs.
Phone: +886988772529 | Email: [email protected] | LinkedIn: boguanjhou | GitHub: NeoJay0705
National Taiwan Normal University
M.S. in Computer Science & Information Engineering Sept. 2017 - June. 2019
National Chin Yi University of Technology
B.S. in Electronic Engineering Sept. 2011 - June. 2015
Programming: Java, Go, Python, C++
Web Development: Spring Framework, PostgreSQL, MySQL, Redis, MongoDB, Elasticsearch, RabbitMQ, Kafka, XXL Job, Microservices, Non-blocking IO (Netty), gRPC, Dubbo RPC, ELK Stack, Vue.js
DevOps: Docker, Kubernetes, GCP, GitHub, GitLab, Shell Scripting
Others: Git, Design Patterns, Clean Architecture, Machine Learning, Tensorflow, NLP
Gram
Backend Software Engineer Oct. 2022 - Oct. 2024
• Developed an MVC framework using Java Reflection, allowing selective implementation of methods under shared URLs, thus avoiding the need for full interface implementation.
• Resolved concurrency issues in the transfer system, streamlined transfer data flow, and enhanced system stability.
• Optimized the reporting generation process to simplify development steps and improve efficiency.
• Implemented byte-based pagination on FTP, enhancing data access performance.
• Ensured strong consistency in transactions within a distributed environment to maintain data integrity.
• Applied design patterns to abstract business logic, reducing repetitive code and improving testability and maintainability.
International Integrated Systems, Inc.
Software Engineer Oct. 2019 - Sept. 2022
• Optimized complex SQL queries to enhance processing speed and efficiency.
• Streamlined the CI process to enable automated Git merge operation.
• Developed a binary search-based logger to improve large file download speed.
• Automated operational workflows by creating key scripts in Java.
National Taiwan Normal University
Graduate Student Sept. 2017 - Aug. 2019
• Natural Language Processing (NLP) Research Project: Focused on sentiment analysis to automatically identify positive or negative sentiments from user reviews.
• Deep Learning Model Application: Utilized Convolutional Neural Network (CNN) architecture to enhance the accuracy of sentiment classification.
• Word Embedding Techniques: Conducted in-depth research on word embedding techniques to improve semantic understanding in text representation, strengthening model outputs.