Real-time Speech Intelligibility Monitoring System
End-to-end Computer Vision + Deep Learning system that predicts room acoustic quality in real-time using phone camera and custom neural network — eliminating expensive measurement hardware.
Nguyen Hoang Bao Nhat
Junior Data Science student at Van Lang University, specializing in Artificial Intelligence. I build end-to-end ML systems across Computer Vision, NLP, and Time-Series Forecasting — driven by a research mindset and engineering discipline.
01 / About
Junior Data Science student at Van Lang University, specializing in Artificial Intelligence. I build end-to-end ML systems across Computer Vision, NLP, and Time-Series Forecasting — driven by a research mindset and engineering discipline.
My approach blends rigorous statistical foundations with modern deep learning techniques. I care deeply about model interpretability, engineering efficiency, and deploying systems that work reliably in production. Currently seeking an AI/Data internship to contribute to impactful projects and learn from industry experts.
Location
Ho Chi Minh City, VN
Availability
Open to Internship
Languages
Vietnamese, English
Focus
AI / ML / Data
Academic background
Bachelor of Data Science
Artificial Intelligence
02 / Skills
A focused stack built around production AI — from data preprocessing to model deployment.
03 / Projects
End-to-end ML systems spanning Computer Vision, NLP, and Time-Series Forecasting.
End-to-end Computer Vision + Deep Learning system that predicts room acoustic quality in real-time using phone camera and custom neural network — eliminating expensive measurement hardware.
End-to-end NLP pipeline fine-tuning PhoBERT to classify Vietnamese student feedback into Positive, Neutral, and Negative — achieving 94.6% accuracy on 3,100+ unseen examples.
Comprehensive time-series study comparing SARIMA, SARIMAX, LSTM, and hybrid architectures for global CO₂ prediction — integrating El Niño/La Niña patterns as exogenous variables.
Showing 3 of 3 projects
04 / Experience
Van Lang University (NCKH Academic Research)
Built an end-to-end Computer Vision + Deep Learning system for real-time room acoustic monitoring, achieving R² = 0.985 for STI prediction.
Personal Project
Fine-tuned PhoBERT for sentiment classification of Vietnamese student feedback, achieving 94.6% accuracy on 3,100+ test samples.
Van Lang University (Academic Project)
Led a 4-person team to build a comprehensive time-series forecasting system for atmospheric CO₂, integrating El Niño/La Niña indicators.
05 / Research
Areas I think deeply about and want to contribute to.
Understanding why neural networks make specific predictions, especially in high-stakes domains.
Exploring when classical statistical approaches augment deep learning versus when pure DL dominates.
Deploying accurate ML models on resource-constrained hardware (CPU-only, edge devices).
Building robust language understanding systems tailored to Vietnamese linguistic structures.
Academic research on real-time acoustic monitoring (NCKH) — ongoing through May 2026. Exploring hybrid acoustic-ML pipelines for deployment in real classrooms.
In progress06 / Achievements
08 / Contact
I'm actively seeking AI/Data internship opportunities. If you're building something interesting, reach out — I'd love to hear about it.
For Recruiters & Hiring Managers
I'm available for AI/Data internships starting from mid-2026. My strongest areas are Computer Vision, NLP, and Time-Series Forecasting. CV available for download above.