Open to AI/Data Internship Opportunities

Nguyen Hoang Bao Nhat

Chris Nguyen

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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.

3+
Projects
3.4
GPA
Find me
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Who I am

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.

Career Goals

  • 01Secure an AI/Data internship to apply ML skills to real-world industry problems.
  • 02Contribute to research at the intersection of Computer Vision and NLP.
  • 03Build production-grade ML systems that are interpretable, efficient, and impactful.

Location

Ho Chi Minh City, VN

Availability

Open to Internship

Languages

Vietnamese, English

Focus

AI / ML / Data

Education

Academic background

Van Lang University

Bachelor of Data Science

Artificial Intelligence

08/2023 – 08/2027GPA 3.4 / 4.0

Technical Interests

Computer VisionNLP / LLMsTime-Series ForecastingModel InterpretabilityEfficient InferenceEdge AIStatistical ModelingVietnamese AI
3.4
Current GPA / 4.0

Technical expertise

A focused stack built around production AI — from data preprocessing to model deployment.

Deep Learning

PyTorchTensorFlowKerasHuggingFace TransformersCustom Architectures

Computer Vision

OpenCVArUco DetectionPerspective TransformImage SegmentationObject Detection

NLP

PhoBERTFine-tuning LLMsText ClassificationWord Segmentation (pyvi)Transformers

Data Science

Time-Series ForecastingStatistical ModelingExploratory Data AnalysisOptunaScikit-learn

Programming

PythonRSQL (PostgreSQL)PandasNumPyMatplotlibSeaborn

MLOps & Tools

FastAPIStreamlitDockerMinIOGit / GitHubLinux
Primary LanguagesPythonRSQL

What I've built

End-to-end ML systems spanning Computer Vision, NLP, and Time-Series Forecasting.

Featured
Computer Vision✓ Completed

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.

0.985
R² Score
0.0035
MAE
100%
Camera Error Corrected
PythonPyTorchOpenCVXGBoostFastAPI+3
Featured
NLP✓ Completed

Vietnamese Student Feedback Sentiment Analysis

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.

94.6%
Accuracy
0.94
Weighted F1
0.96
Negative F1
PythonPyTorchHuggingFace TransformersPhoBERTpyvi+3
Featured
Time-Series✓ Completed

Atmospheric CO₂ Concentration Forecasting

Comprehensive time-series study comparing SARIMA, SARIMAX, LSTM, and hybrid architectures for global CO₂ prediction — integrating El Niño/La Niña patterns as exogenous variables.

0.5513
Best RMSE
+44%
vs. SARIMA Baseline
5
Models Benchmarked
PythonTensorFlowKerasStatsmodelsOptuna+3

Showing 3 of 3 projects

What I've worked on

Research Co-author — Real-time STI Monitoring

Van Lang University (NCKH Academic Research)

07/2025 – 05/2026Academic Research

Built an end-to-end Computer Vision + Deep Learning system for real-time room acoustic monitoring, achieving R² = 0.985 for STI prediction.

  • Engineered custom TwoBranchRayNet architecture
  • XGBoost surrogate model reducing data dependency by 94%
  • Deployed via FastAPI + Streamlit dashboard

Researcher — Vietnamese NLP

Personal Project

10/2025 – 12/2025Personal Project

Fine-tuned PhoBERT for sentiment classification of Vietnamese student feedback, achieving 94.6% accuracy on 3,100+ test samples.

  • PhoBERT fine-tuning with Hugging Face Transformers
  • 94.6% accuracy, F1=0.96 on negative class
  • Production-ready inference pipeline

Team Leader — CO₂ Forecasting

Van Lang University (Academic Project)

09/2025 – 11/2025Academic Project

Led a 4-person team to build a comprehensive time-series forecasting system for atmospheric CO₂, integrating El Niño/La Niña indicators.

  • Led team of 4 members
  • RMSE = 0.5513 (44% better than SARIMA baseline)
  • Optuna automated hyperparameter tuning

Research interests

Areas I think deeply about and want to contribute to.

01

Model Interpretability

Understanding why neural networks make specific predictions, especially in high-stakes domains.

02

Hybrid Statistical + DL Models

Exploring when classical statistical approaches augment deep learning versus when pure DL dominates.

03

Efficient Inference

Deploying accurate ML models on resource-constrained hardware (CPU-only, edge devices).

04

Vietnamese NLP

Building robust language understanding systems tailored to Vietnamese linguistic structures.

Currently Active

Academic research on real-time acoustic monitoring (NCKH) — ongoing through May 2026. Exploring hybrid acoustic-ML pipelines for deployment in real classrooms.

In progress

Awards & recognition

🏆
Champion
VLU MedTech 2025
06/2025
Competition
Top 30
Swin-Biz Rockstar 2025
10/2025
Competition
🏆
Research Publication
Real-time STI Monitoring Study
05/2026
Academic
94.6% Accuracy
Vietnamese NLP Classification
12/2025
Academic
RMSE 0.551
CO₂ Forecasting Project Lead
11/2025
Project
+ More to come

Activity & contributions

GitHub Stats
Most Used Languages
Contribution Streak

Let's work together

I'm actively seeking AI/Data internship opportunities. If you're building something interesting, reach out — I'd love to hear about it.

Send Email
📌

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.