NGUYEN THANH DAT
Projects and work experience
Dat Nguyen
tdat772001
Influence Robotic Arm (processing)
Project Reinforment learning
• Leader
• Built environment in Unity, Built algorithm Qlearning, PPO
• Achieved 0.0175 Policy loss, average 10 value loss Dental caries using Unet
Project Computer Vision – Github Link
• Leader
• Image processing, building Unet model with tensoflow
• Building API base on Flask combine AWS service
• Experiment on private dataset : achieved 70% accuracy Vietnamese Speech Recognition Using Conformer
Project NLP – Researchgate Link
• Member
• Speech preprocessing with pytorch
• Research, building and training model Comformer
• On data : VLSP 2019 and Vivos, achieved WER 0.2 in Vivos test Video Question Answering with Transformer
Project Computer Vision combine NLP – Kaggle Link
• Leader
• Video processing, text processing and bult Transformer model
• On data: achieved BLEU score 80% on the NextQA
Awards & Honour
Public Paper
• Co-author of the article “A Novel Approach for Vietnamese Speech Recognition Using Conformer”(A Novel Approach for Vietnamese Speech Recognition Using Conformer .) Received a scholarship for IUH semesters
• Industrial University of Ho Chi Minh City
Member of AI Club IUH Python
• Visualization, Machine Learning fundamentals
Nov 2022 - Dec 2022
Aug 2022 - Nov 2022
Fed 2022 - Jun 2022
Nov 2022
2019 - Now
Jan 2021 - Jan2023
Education
Industrial University of Ho Chi Minh City
• Bachelor of Computer Science
Aug 2019 - May 2023
ML Engineer
Skills/Interests/Miscellaneous
• Time management, Adaptability and Presentation skills
• Profition with AWS and Microsoft Office: Excel, Powerpoint, Word
• Bronze medal in the university volleyball championship, Badminton
• Interests: Ted-ed, Fitness, Neuroscience, Guitar, Language Proficient in Python and experienced in developing machine Ho Chi Minh, VietNam learning models. Skilled in data preprocessing, model training, and evaluation. Strong problem-solving skills and effective collaborator in team-oriented environments.
Language
• English(fluent speaker) • Germany(beginer speaker) Jan 2023 - Now