Dinh Thanh Tai
About Dinh Thanh Tai
Dinh Thanh Tai is a software engineer with a strong background in machine learning and natural language processing. He has worked at TIKI Corporation and FPT Software, and holds a Master's degree in Computer Science from HCM University Of Technology.
Work at TIKI Corporation
Dinh Thanh Tai worked at TIKI Corporation in two roles. He served as a Software Engineer in the Checkout department from 2019 for 8 months and later as a Software Engineer in the Retail department from 2020 to 2023 for 3 years. During his time at TIKI, he contributed to software development projects that enhanced the company's e-commerce platform.
Experience at FPT Software
Dinh Thanh Tai held multiple positions at FPT Software. He began as a Software Developer from 2017 to 2018 for 1 year and then advanced to a Senior Software Developer role from 2018 to 2019 for 6 months. His work involved developing software solutions and contributing to various projects within the organization.
Education and Expertise
Dinh Thanh Tai earned a Master of Science in Computer Science from HCM University Of Technology (HUTECH) from 2018 to 2022. He also holds a Bachelor's degree in Computer Systems Networking and Telecommunications from International University - VNU HCMC, completed from 2013 to 2017. His academic background supports his specialization in machine learning techniques applied to natural language processing.
Technical Skills and Proficiencies
Dinh Thanh Tai possesses a diverse skill set in software development. He is proficient in programming languages such as Java, PHP, and Python. His expertise extends to both relational and NoSQL databases, including MySQL, Postgres, MongoDB, and Redis. Additionally, he has experience with various app servers and middleware technologies like Tomcat, Apache Server, Virgo server, and Nginx.
Machine Learning Projects
Dinh Thanh Tai developed a machine learning model specifically for product matching. This project demonstrates his ability to apply machine learning techniques to solve practical business challenges, showcasing his expertise in advanced computational linguistics and natural language processing.