Machine Learning Google Cloud

Tuan Nguyen

********@*****.*** 413-***-**** github.com/yuhtuna linkedin.com/in/tuan-nguyen05 EDUCATION

University of Massachusetts Amherst — Amherst, MA GPA: 3.98 B.S. in Computer Science & Applied Mathematics Expected May 2027 Relevant Coursework: Artificial Intelligence, Machine Learning, Data Structures, Algorithms, Operating Systems, Web Development, Computer Network

WORK EXPERIENCE

Narb R&D Intern Remote (Langchain, Python, MEAN stack, GCP, Docker, MCP) Jul 2025 – Sep 2025

• Led a team in building a no-code platform that automates app development based on user-defined requirements.

Hitachi Vantara AI Engineer Intern Vietnam (Python, Hugging Face, Microsoft Azure) Jun 2025 – Sep 2025

• Developed an agentic AI system to automate the analysis of maintenance reports, significantly reducing manual review time for engineers with Dify

• Benchmarked YOLO and Owlv2 models for object detection, curating high-quality datasets with CVAT.

Horusoftaceae Software Intern Vietnam (Python, Django, Linux, Microsoft Graph) Jun 2024 – Jul 2024

• Led full-stack development of a responsive web app using Flask, featuring dynamic content and OAuth 2.0 security.

• Managed end-to-end deployment on a Linux server, including SSL/TLS configuration and API validation with Postman.

PROJECTS

Manela (MEVN Stack, Google Cloud, MongoDB, Docker, AWS S3)

• Built and deployed a feature-rich English AI learning web app that adapts to user learning behaviors to generate personalized materials.

Visual Diary (C#, Google Cloud Platform, .NET, AWS S3, Docker)

• Engineered a C# WPF desktop app for digital journaling, featuring a Google Cloud AI chat assistant and an image generation API to create visual diary entries. Budget SSH (BSSH) (C, C++)

• Co-developed a command-line tool to enhance team collaboration by broadcasting user commands and output during a shared SSH session.

Multi-class Image Classification ML Model (TensorFlow, Python)

• Engineered a TensorFlow model for multi-class image classification, achieving 98.6% accuracy by testing various architectures.

Technical Skills

• Languages: Python, Java, C++, C, C#, PowerShell, JavaScript, SQL, Bash/Shell

• Frameworks & Technologies: React, Spring, Django, .NET, TensorFlow, PyTorch, Google Cloud Platform (GCP), Docker, AWS, Microsoft Azure

• Tools: Git, Postman, CI/CD, Distributed Systems, Object-Oriented Design (OOD), Operating Systems, Networking, Linux/Unix System

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