Giang Nguyễn
@giangnguyn
AI researcher passionate about generative AI and speech processing.
What I'm looking for
I am currently pursuing a Master's in Data Science at Hanoi University of Science and Technology, where I maintain a GPA of 3.71/4.0 and have been awarded a 50% merit scholarship. My academic journey has been complemented by hands-on experience in AI research, particularly in the fields of generative AI and speech processing.
In my role as an AI Researcher/Engineer at Vbee AI, I conducted applied research in text-to-speech modeling, integrating large language models to enhance performance in speech understanding. I developed deep learning models to tackle challenges in TTS, optimized for real-time deployment, and built scalable data pipelines for efficient data management. My previous experience as a Research Assistant at BK.AI Center allowed me to contribute to deep learning projects focused on time series forecasting and intelligent communication systems, further solidifying my expertise in AI.
Experience
Work history, roles, and key accomplishments
Visiting Researcher
Health Informatics Lab – NTU Singapore
Jul 2025 - Sep 2025 (2 months)
Conducted research focused on Model Merging, Mixture of Experts (MoE), and efficient LLM adaptation techniques. This involved exploring advanced methods for optimizing large language models.
AI Researcher/Engineer
Vbee AI
Nov 2023 - Jun 2025 (1 year 7 months)
Conducted applied research in Generative AI and zero-shot/few-shot text-to-speech (TTS) modeling, integrating LLMs into speech-language models to enhance performance. Developed deep learning models for TTS challenges and optimized models for real-time deployment.
Education
Degrees, certifications, and relevant coursework
Hanoi University of Science and Technology
Master's in Data Science, Data Science
2024 -
Grade: 3.71/4.0
Currently pursuing a Master's in Data Science with a strong academic record, achieving a GPA of 3.71/4.0. Awarded a 50% Merit Scholarship for outstanding performance.
Hanoi University of Science and Technology
Engineer in Information Technology, Information Technology
2019 - 2023
Grade: 3.51/4.0
Completed an Engineer degree in Information Technology, graduating with a GPA of 3.51/4.0. Gained foundational knowledge and practical skills in various aspects of information technology.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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