Machine Learning Engineer Intern

092******* **************@*****.***

**/**/**** ** *** Minh City

Driven AI Engineer intern candidate with a solid academic background in machine learning and natural language processing. Proficient in developing and refining models through practical university projects, including work with classification algorithms and neural networks. Motivated to leverage these skills in a dynamic internship, aiming to create impactful AI applications and address real-world business needs

// TARGET

// SKILL

Programming Language:

Python, Java, SQL, C++, C

Developer Tools:

Google Colab, Kaggle, Pycharm, Jupyter Notebook, Git and Github, Docker, VMware Frameworks/Libraries:

Pytorch, Tensorflow, Scikit-learn, Java Springboot Mathematics & Statistics:

Probability, Linear Algebra, Clculus, Statistical Analysis Promp Engineering:

Proficient in designing effective prompts tailored to specific tasks. Languages:

Vietnamese, English

Others:

Familiar with LLMs (Gemini, GPT, Perplexity, Cursor AI )

// EXPERIENCE - PROJECTS

NLP - RESUME RANKING WITH SPACY NER

Project Team - 3 Members

- Developed a custom Named Entity Recognition (NER) model using SpaCy and Transformers to automatically extract key information (skills, education, experience) from resumes.

- Engineered a full data pipeline, from preprocessing annotated JSON data to training and evaluating the model in a GPU-accelerated environment.

Achievements:

- Built a pipeline to process and prepare annotated resume data.

- Understand and train a custom transformer-based NER model with SpaCy. Link to project: https://github.com/anhnguyenpsk/ResumeParsing 04/2025 - Present

NGUYEN VIET ANH

AI ENGINEER/ DATA SCIENTIST

MACHINE LEARNING - BANK MARKETING CAMPAIGN PREDICTION Project Team - 2 Members

- Built a predictive model for a bank marketing campaign using Python, Scikit-learn, and Pandas; achieved a 0.92 AUC score in predicting customer subscriptions by leveraging data preprocessing and a tuned Random Forest model.

Achievements:

- Understood a comprehensive machine learning workflow, from data preprocessing and feature engineering to model training and evaluation using Python, Pandas, and Scikit-learn.

- Learned how to analyze and interpret model results (e.g., AUC, F1-score) to derive actionable business insights for optimizing marketing strategies.

Link to project: https://colab.research.google.com/drive/1QCymXZLhiosNfyKyxADxWuGHM4r_54a6?usp=sharing 04/2025 - 06/2025

WEB - E-COMMERCE WEBSITE

Project Team - 3 Members

- Build a complete website for supermarket where customers can purchase and track orders, while admins can manage the orders and products with lots of functionalities beside Achievements:

- Understand a comprehensive system for frontend and backend of a website with Springboot, SQL, Java core

- Learn how to make well-structure documents from basic idea to use case and end system Link to project: https://github.com/Kaneki377/Web_Project_HTA 10/2024 - 12/2024

// EDUCATION

POSTS AND TELECOMMUNICATIONS INSTITUTE OF TECHNOLOGY HO CHI MINH CITY Bachelor Of Engineering In Artificial Intelligence 08/2021 - Present

// REFERENCES

Github - https://github.com/anhnguyenpsk

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