Zhanpeng Wang
About Zhanpeng Wang
Zhanpeng Wang is an NLP Master Thesis Intern at Sinch, with a background in Computer Science and Technology from Southeast University and a Master's degree in Machine Learning from Kungliga Tekniska högskolan. He has experience in building Deep Learning models and previously interned at yonyou Network Technology.
Work at Sinch
Zhanpeng Wang currently holds the position of NLP Master Thesis Intern at Sinch, a role he has been in since 2021. His work involves applying his knowledge in natural language processing within the company's projects. Sinch is known for its focus on communication services, and Zhanpeng contributes to the development of innovative solutions in this area. His internship has allowed him to engage with complex problems and collaborate with other professionals in a dynamic environment.
Education and Expertise
Zhanpeng Wang earned a Bachelor's degree in Computer Science and Technology from Southeast University, where he studied from 2014 to 2018. He furthered his education at Kungliga Tekniska högskolan, obtaining a Master's degree in Machine Learning from 2019 to 2021. His academic background provides a solid foundation for his expertise in building deep learning models using programming languages such as Python, Java, and C++. This combination of education and technical skills positions him well in the fields of machine learning and data science.
Background
Zhanpeng Wang has a diverse background in technology and natural language processing. He began his career as an NLP Intern at yonyou Network Technology in 2020, where he worked for 11 months in Beijing, China. This experience allowed him to gain practical insights into the application of NLP techniques in real-world scenarios. His journey in the tech industry reflects a commitment to continuous learning and development in advanced computational fields.
Interests in Machine Learning and Data Science
Zhanpeng Wang has a strong interest in machine learning and data science, areas that are rapidly evolving and critical to many industries. His passion for these fields drives his academic and professional pursuits. He enjoys working in agile environments, which facilitate collaboration and innovation. This interest aligns with his current role at Sinch, where he applies his skills in NLP and machine learning to contribute to meaningful projects.