A full-stack software engineer intern at The Financial Risk Group (ongoing - more detail will be added).

A web development research assistant at the DHEP (Digital Health Economics and Policy Lab) at UNC-Chapel Hill (ongoing - more detail will be added).

Developed and maintained a React and Flask full-stack web application that allows the company's staff to manage and track their projects and clients.

Assisted in the development of a Flask & Python backend that processes user data and sends it to the database.

Designed an improved database architecture that increased the application's performance by 30% and implemented Role-Based Access Control (RBAC) with Auth0 to enhance security.

Enhanced the security of web applications by implementing OAuth 2.0 and JWT for user authentication and implemented measures to prevent CSRF and XSS attacks.

Technology Stack: React, Flask, Python, TypeScript, JavaScript, Node.js, Express, PostgreSQL, MongoDB, Auth0, REST APIs, GraphQL, OAuth 2.0, JWT.

A research assistant for the AIMING Lab at UNC-Chapel Hill, working under Dr. Huaxiu Yao's supervision.

Applied AI to biomedicine by training LLMs on medical text datasets with over 500,000 records and fine-tuning diffusion models to generate high-resolution medical images.

Improved model robustness against adversarial attacks, reducing error rates by 20% through training and fine-tuning.

Reduced diffusion models' computational costs by 35% while maintaining high-resolution image synthesis quality.

Developed retrieval-augmented generation (RAG) techniques, improving LLM knowledge retention and response accuracy by 40%.

Technology Stack: Python, PyTorch, LangChain, TensorFlow, Hugging Face Transformers, Diffusers, OpenAI API, and Docker.

A UTA for COMP-126: Web Development for Everyone course at UNC-Chapel Hill.

Provided academic support to over 80 students, both in-class and during office hours, improving their understanding of web development concepts.

Conducted 8-9 weekly office hours and review sessions, resulting in a 15% increase in student exam performance.

Graded and provided feedback on over 200 assignments and exams, maintaining a 100% on-time grading rate.

Communicated with the professor to enhance course materials, leading to a significant increase in student engagement and understanding of web development concepts.

Technology Stack: HTML, CSS, JavaScript, React, Node.js, Express, Git, GitHub, REST APIs, Bootstrap, Material-UI, Figma.

A learning assistant for COMP-210: Data Structures and Analysis course at UNC-Chapel Hill.

Provided academic support to over 150 students, improving their understanding of data structures and algorithms.

Conducted 15+ weekly office hours and review sessions, resulting in a 20% increase in student exam performance.

Graded and provided feedback on over 150 assignments and exams, maintaining a 98% on-time grading rate.

Collaborated with professors to enhance course materials, leading to a 25% increase in student engagement in labs and assignments.

Mentored 10+ students on complex individual projects, helping them tackle advanced algorithmic challenges efficiently.

Technology Stack: Python, Java, Git, Data Structures (Arrays, Linked Lists, Trees, Hash Maps, Graphs).

Developed 20+ backend APIs and 10+ frontend features for FPT ICDP, FPT’s internal communication platform.

Enhanced the UI of ICDP using Figma, resulting in a 20% increase in user engagement and satisfaction.

Developed 5 new features of ICDP to streamline communication, document sharing, and task management, enhancing collaboration and communication between FPT teams by 25%.

Contributed to NLP and data analysis projects for the chatbot feature of FPT's ICDP, leading to a 15% improvement in AI model fine-tuning and optimization.

Developed a new feature for FPT's ICDP that allows users to create and manage their own chatbots, increasing user engagement by 30%.

Technology Stack: Tensorflow, PyTorch, Optuna, React, Node.js, Express.js, MongoDB, PostgreSQL, Redis, Apache Kafka, RabbitMQ, Git, Kubernetes, and Docker.

Developed the company’s full-stack English-version website and job application database that supports over 50,000 active users.

Led the entire project lifecycle from concept to deployment.

Created responsive, user-focused UIs, implementing a mobile-first design approach using Figma.

Increased operational efficiency by 40%, managing approximately 200 job applications monthly.

Deployed the system using Docker, AWS EC2, RDS, S3, Gateway, and Route 53, optimizing infrastructure costs by 20% and enhancing the company's global reach.

Helped establish a scalable infrastructure that accommodates future growth in user base and application submissions.

Technology Stack: PHP, React, Django, Figma, MongoDB, MySQL, Docker, AWS, and Git.

Contributed to the design and development of vCloudcam’s security camera management website.

Enhanced the website’s user interface and user experience, boosting site performance by 30%, and supporting user traffic of over 75,000 monthly visits.

Identified a performance issue and implemented a WASM-based solution that increased the video streaming system’s efficiency by 30%.

Rewrote the website’s backend code, improving the server’s response time by 40%.

Received the Best Intern Award for the 2023 Summer Internship Program by VNG Corporation.

Technology Stack: React, Angular, TailwindCSS, Webpack, Java, WebAssembly, Golang, Beego, Oracle Database, Red5, Docker, and Git.

Collaborated with researchers at the Mandel School of Social Sciences on the Study of Human Rights in Southeast Asia and the Study of Southeast Asian Economics and Politics (SSEAP).

Assisted researchers with data entry, improved data processing efficiency by 30%, and executed 50+ data simulations and visualizations using Excel, Tableau, SAS, Plotly, and ggplot2.

Ensured data security and integrity for over 5,000 data points, reducing data errors by 25%.

Using Apache Spark and Hadoop, analyzed 10+ TB of data, identifying key trends and patterns that informed research findings and recommendations.

Reviewed and critically assessed 20+ research proposals, providing constructive feedback that enhanced the quality of research output by 40%.

Technology Stack: Microsoft Excel, Tableau, Hadoop, Spark, SAS, Python (Plotly), and R (ggplot2).