Nhi Trần
@nhitrn
AI Engineer Intern with hands-on experience in data processing.
What I'm looking for
I'm Tran Luong Duong Nhi, a 22-year-old AI Engineer Intern with a strong foundation in AI data processing and prompt engineering for Large Language Model training. My hands-on experience includes working on face recognition and chatbot development projects, where I successfully contributed to real-world applications. I am passionate about leveraging technology to solve complex problems and enhance user experiences.
During my internship at VINOVA, I completed over 30 tasks related to AI data processing, ensuring high-quality input data for training large language models. I also led a team at CYBERCORE, managing operations and training new members while maintaining data quality and project timelines. My technical skills include programming in Python, JavaScript, and C++, as well as expertise in NLP, OpenCV, and face recognition technologies.
Experience
Work history, roles, and key accomplishments
AI Prompt Engineer
VINOVA
Mar 2025 - Jun 2025 (3 months)
Completed over 30 tasks and contributed to 3 real-world projects at the company. Designed prompts based on specific project requirements to support the training of large language models.
Data Label Leader
CYBERCORE
Jan 2025 - Jun 2025 (5 months)
Successfully completed 3 data annotation projects in the computer vision domain. Managed team operations, task assignment, and training of new members.
AI Data Processing
ACACY
Oct 2024 - Jan 2025 (3 months)
Performed filtering and validation of image data for computer vision projects. Used in-house AI models to cross-check and verify labeling accuracy.
Education
Degrees, certifications, and relevant coursework
Hoa Sen University
Bachelor of Science, Artificial Intelligence
Studied Artificial Intelligence at Hoa Sen University, focusing on core concepts and applications. Gained foundational knowledge in AI principles and relevant technologies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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