TRAN LAM TRUNG THINH
S O F T W A R E E N G I N E E R F R E S H E R
August 2024 - November 2024 Dien Toan Group Backend Developer Intern Description: Participate in the Epidemiological Management project in Tay Ninh. Learn to optimize Entity Graph data query operations, optimize performance using Redis.
Outcome: Gained experience in organizing and managing the code structure of a real-world project, actively participated in team meetings to discuss and solve problems, and continuously learned new knowledge and skills throughout the process.
Technologies: Java(Spring boot), PostgresSQL.
July 2024 - July 2024 Dien Toan Group Collaborator for the AI team Description: Make AI label data, attach labels to detect wearing hats when participating in traffic.
Outcome: Complete the accurate classification of over 32,000 images on schedule within 2 weeks.
As a recent Software Engineering graduate, I am eager to begin my professional journey in the tech industry. I am highly motivated to develop myself, continuously improve my skills, and contribute meaningfully to a dynamic development team. I am especially enthusiastic about learning new technologies and applying them to real- world projects.
EXPERIENCE
PERSONAL SUMMARY
August 2024 - December 2024 Industrial University of Ho Chi Minh City Student Graduation project: Fashion e-commerce website integrated with chatbot *************@*****.***
https://www.linkedin.com/in/trần-lâm-trung-thịnh-874a41326 Link BE: https://github.com/trungthinh2k2/fashion-e-commerce-website-backend Link FE: https://github.com/tranquocthinh88/fashion-e-commerce-website-frontend Programming Language: Java, JavaScript, TypeScript Frameworks: Springboot, Reactjs, ReactNative
Frontend: HTML, CSS
Architecture: Microservice
Database: MongoDB, MySQL,PostgreSQL
Other: Docker, Git, Postman
October 2020 - December 2024 Industrial University of Ho Chi Minh City Major: SOFTWARE ENGINEERING
GPA: 2.92
TOEIC: 485
Role: Backend
Description: Built the complete backend for a fashion e-commerce website using Java (Spring), offering APIs for managing products and orders with authentication and authorization security. Additionally, implemented real- time chat using WebSocket, integrated VNPay e-wallet payment, and deployed the backend with Docker.
Outcome: Successfully executed the procurement and import process, improved customer engagement and reduced response time through real-time chatbot support.
Technologies: Java(Springboot), TypeScript(Reactjs), PostgresSQL, Docker. CONTACT
LANGUAGE
EDUCATION