Full Stack Developer Intern
1/7/2024 - 23/8/2024
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During my time at Cybozu Vietnam, I had the chance to immerse myself in the unique work culture of a Japanese company, particularly through the "Horenso" communication method, which emphasizes efficient reporting, contact, and consultation. This method highlighted the importance of transparency and timely updates in a collaborative environment. I also gained in-depth knowledge of the company’s software development process, understanding the different stages from concept to execution.
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One of the key projects I worked on was "Game Draw and Guess," where I contributed to defining both functional and nonfunctional requirements. This experience enhanced my ability to interpret and apply technical specifications effectively. Collaborating with my team, I helped code the project, translating the requirements into a fully functional application. Regular weekly report meetings allowed us to track progress, address challenges, and ensure that we stayed aligned with project goals. Overall, this experience sharpened my skills in teamwork, communication, and software development within a professional setting.
College Search mobile app
Full-stack developer
05/2023 - 08/2023
During the development of the College Search mobile app, I gained valuable experience in creating a platform that provides students with comprehensive information about universities across Vietnam. The app was designed to offer essential details such as admission scores, available majors, and other critical university data. One of the most rewarding aspects of the project was implementing features that help students find suitable universities based on their MBTI personality types and personal interests, allowing for a more personalized and insightful search experience. Additionally, I integrated a comparison tool that enables users to compare universities side by side, helping students make informed decisions between different options. This project not only enhanced my technical skills but also deepened my understanding of how technology can assist students in making critical academic and career decisions.
FlashCard mobile app
Full-stack developer
10/2023 - 01/2024
During the development of the FlashCard mobile app, I gained valuable experience in applying evidence-based learning methods, such as flashcards and spaced repetition, to enhance the effectiveness of English language learning. These techniques are widely recognized for improving memory retention and helping students absorb new vocabulary more efficiently. One of the core features of the app is the ability to create decks, sets, and folders, allowing learners to organize their flashcards in a structured, user-friendly manner. This organization feature made it easier for users to manage their study materials and customize their learning experience.
Moreover, by developing this as a mobile app, we ensured that students could learn anywhere, anytime, directly from their phones. This mobility aspect provided learners with greater flexibility and convenience, making it easier to integrate learning into their daily routines. Overall, the project not only improved my technical skills in app development but also deepened my understanding of how technology can enhance educational outcomes.
Website using AI to detect tumor in tissue through medical images dataset
Full-stack developer
10/2023 - 01/2024
During the development of a website that uses AI to detect tumors in tissue through medical image datasets, I gained significant experience in both AI model training and web development. I worked with a convolutional neural network (CNN) to train the AI model using a dataset of approximately 160,000 medical images. Through this process, I learned how to fine-tune the model and optimize its performance, achieving an impressive prediction accuracy of about 94%.
In addition to working with AI, I also developed the website interface using the Streamlit library in Python, allowing users to easily interact with the model. This project deepened my understanding of machine learning, image analysis, and web deployment, while also demonstrating how AI can be leveraged to support medical diagnostics with high accuracy and efficiency.