AI Engineer Intern

LE TUAN AN

Q**, TP.HCM

H 070*******

B ************@*****.***

Í https://github.com/AnLe08

Experience

June 2024 –

Sep 2024

Automation Engineer Intern, Toan Phat New Technology Company, Q12, TP.HCM.

{ Building electrical cabinet: Learn and understand the wiring system in the electrical cabinet. Then, building cabinets for customers.

{ Design problem application for motor control.

Skills

Languages

Programs

Python, C#, PLC

Frameworks Pytorch, Tensorflow, Ultralytics (Yolo & Roboflow),OpenCV, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, .NET

Tools Google Colab, JupiterLab, Kaggle, Figma, Postman English IELTS 6.0

Projects

Animal Toys Classification Robotic System, Python, Ultralytics, OpenCV, Numpy, Pytorch, Scikit-learn.

The project starts with detecting custom animal toys that were pre-trained using YOLOv5, it will then use the library of Intel camera to find the XYZ coordinates. Then, the PCA algorithm is applied to estimate the object's orientation. After completing the computer vision process, I integrated Yaskawa 6-DOF robotic arms to grasp toys and place them in the correct bins.

AnLe08/Robot_Segment_CV_YOLOv5

House Price Prediction using Real Estate Data, Regression (Linear and Tree-based), Model Evaluation (MSE, R, Cross-validation). Using Python (Pandas, NumPy) to handle values. Build and optimize Random Forest Regressor model using Scikit-learn, achieving R 0.90 and RMSE $23,859 in prediction. AnLe08/Project-ML

Purchasing Behavior Analysis, KMeans, DBSCAN, PCA, StandardScaler, Feature Engineering.

Analyze purchase behavior from Online Retail Dataset to segment customers. Perform Feature Engineering to create features on purchase value and frequency. Apply K-Means

(k=5) and DBSCAN to cluster, compare results and visualize using PCA. Identify different customer segments based on purchase behavior.

AnLe08/Project-ML

League of Legends Match Predictor, Pytorch, Sklearn, Pandas, Numpy. Build a logistic regression model aimed at predicting the outcomes of League of Legends matches.

AnLe08/Project-ML

Building Device Management Software With Database, C# .NET, SOLID.

The project manages different devices separating 3 fields (automation, mechanical, and electrical appliances). The functions of this project use the CRUD method (Create, Get, Update, Delete) to manage equipment and use 1 of 5 design patterns of SOLID, Dependency Injection

AnLe08/DeviceManagement2

Design A Font-End Interface For Device Management, C# .NET. The project helps customers easily access the program with simple, easy-toremember operations but still covers the device management process with functions such as adding, retrieving, editing, and deleting.

AnLe08/Winform_device_management

Education

Oct 2020

Mar 2025

Bachelor of Engineering in Electrical - Electronics Engineering (Ad- vanced Program), HCM University Of Technology (Bach Khoa University), GPA: 3.0/4.0, Q10, TP.HCM.

Certificates & Courses

Machine Learning with Python A Practical Introduction - IBM Audit course, .

Pytorch basics for Machine Learrning - IBM Audit Course, . Intro to Machine Learning - Kaggle, .

Intermdiate to Machine Learning - Kaggle, .

Intro to Deep Learning - Kaggle, .

Deep Learning with TensorFlow ans Keras - IBM Audit Course, . Deep Learning with Python and PyTorch - IBM Audit Course, .

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