Bao D.

AI Engineer Intern

Engineering • Período integral

Jul 2026 - Present • 2 mos

Android Application Development Implemented and maintained features for an internally used Android application, contributing across the full development process. Responsibilities included business and requirements analysis, translating operational requirements into practical technical solutions, designing UI/UX flows, implementing screens and interactions, redesigning existing layouts, integrating APIs, handling application state, and debugging existing functionality. Worked with an existing codebase and adapted implementations to its established architecture and requirements. AI / Machine Learning Built a functional Retrieval-Augmented Generation (RAG) system for image retrieval as a proof-of-concept project. Designed and implemented the retrieval pipeline using machine learning and deep learning techniques, including data processing, embedding generation, vector-based retrieval, and integration with a user-facing desktop interface. Worked across the ML pipeline and supporting database infrastructure to connect data ingestion, retrieval, and model-driven processing.

Undergraduate Researcher

Vietnam National University, Hanoi • Período integral

Feb 2026 - Present • 7 mos

Developed a strong understanding of modern machine learning and deep learning architectures, with a primary focus on Natural Language Processing (NLP). Studied and worked with sequential models including RNNs, GRUs, and LSTMs, as well as modern Transformer-based architectures such as Transformers, BERT, and GPT. Also gained practical experience with computer vision models, particularly CNN-based architectures. Implemented and trained a small functional GPT-style language model, working across the complete pipeline including dataset preparation, tokenization, model architecture, training, optimization, masking, evaluation, and inference. Fine-tuned CNN models on custom datasets to improve their suitability for domain-specific data. Built a functional Retrieval-Augmented Generation (RAG) pipeline for image retrieval, combining machine learning, deep learning, vector-based retrieval, and database infrastructure. Gained practical experience in designing ML pipelines and integrating trained models with supporting software systems.