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Vu Q.

Vu Q.

Data Science Intern at Advanced International Applied AI Research Center (AIRC - ITI) (11/2025 - 2/2026)

Vietnam flagOcean Park, Vietnam

Key Skills

Software

Don't disclose

Top Subject Matter

Computer Vision (CV): Object Detection and Keypoint Detection
Agentic AI training (Agent Loop)

Top Data Types

ImageImage
TextText

Top Task Types

Object DetectionObject Detection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Data Science Intern at Advanced International Applied AI Research Center (AIRC - ITI) (11/2025 - 2/2026). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Bachelor of Science, Hung Yen University of Technology and Education (UTEHY) (2026). AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection and Prompt + Response Writing (SFT).

Labeling Experience

Cohort 1 (Full-time training) Agentic AI Course at AI in Action 20K (VinUni - VinGroup) (5/2026 - 7/2026)

TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Completed a full-time training cohort focused on agentic AI and agent loop foundations within a business/product management context. Engaged in structured course activities that support creating and refining LLM interactions for training or evaluation purposes (inferred). Developed practical understanding of how agents iterate and respond in a product-oriented setting. • Agent loop and foundational training • LLM interaction practice (inferred) • Business/product track deep dive • Cohort-based full-time AI training

2026 - 2026

Data Science Intern at Advanced International Applied AI Research Center (AIRC - ITI) (11/2025 - 2/2026)

Don't discloseImageImageObject DetectionObject Detection

Contributed to real-life CV tasks including object detection and keypoint detection as part of AI research and internship work. Worked on understanding deployment aspects for edge devices while familiarizing with Raspberry Pi. Focused on practical preparation and handling of labeled computer vision datasets for downstream model use. • Object detection and keypoint detection task exposure • Edge deployment orientation for CV models • CV dataset preparation and interpretation activities (inferred) • Related computer vision labeling workflows (inferred)

2025 - 2026

Education

H

Hung Yen University of Technology and Education (UTEHY)

Bachelor of Science, Computer Science

Bachelor of Science
2022 - 2026

Work History

V

VinUni

Cohort Trainee, Agentic AI (Full-Time Training Program)

Ocean Park
2026 - 2026
A

Advanced International Applied AI Research Center (AIRC - ITI)

Data Science Intern

Cầu Giấy
2025 - 2026