Dinh Truong

Computer Science student at the University of San Diego with a strong foundation in backend engineering, data science, and AI-driven systems. Previously worked as a Backend Lead Intern, where I architected scalable backend infrastructure, designed and optimized relational databases, and deployed production-ready full-stack applications. I have hands-on experience building modular systems using Java, JavaScript, Python, and SQL, with a strong emphasis on clean code, SOLID design principles, and performance optimization. My background includes leading sprint planning, debugging complex issues, mentoring developers, and integrating OpenAI-powered workflows to improve the precision and reliability of AI-generated outputs. In addition to industry experience, I’ve developed multiple AI and machine learning projects—ranging from conversational chatbots with contextual memory to deep learning models (BERT, CNNs, LSTMs) that achieved over 82% accuracy in sentiment classification. I enjoy working at the intersection of software engineering and artificial intelligence, turning complex problems into scalable, real-world solutions. Currently seeking opportunities to grow as a backend, software, or AI-focused engineer and contribute to impactful, technically challenging projects.