Ai Engineer Mobile App

AI Intern

+84-865******

**********@*****.***

Ho Chi Minh - Viet Nam

Trần Lê Thành Lộc

Focused AI with robust experience in developing AI models combine with Back-end to improve reality knowledge. Programming Languages

- Python.

- Java.

Artificial Intelligence)

- Basic ML, DL and AI.

- Basic NLP, CV, and LLM.

Library and Framework

- Basic Pytorch, Keras,

and SKlearn.

- Basic PySpark Apache

and Microsoft SQL Sever

- Flask API

Education

Language

Summary

2019 - 2025

Ton Duc Thang University

- Computer Science.

- GPA 7.42/10.

English Certification

- APTIS General - B2.

Personal Project

1. Time-Series for Forecasting from HPC Dataset

Skills

Description: Data processing, series to supervised and building model predicting values "Global_active_power" from Household Power Consumption Dataset.

Method: data prosessing by Pandas, Numpy and compareing TimeLLM, NBEATS, MLP and LSTM with supervised.

Best accuracy of model: NBEATS (MAE: 0.086626).

Reference: Colab.

2. Backend Traffic Density With CNN and Using A* for Directing App

Description: Build mobile app which directing less traffic route to balance distance with traffic density. This app use API that processing image from traffic camera system in HCM city and return traffic density for clients.

Method:

Using Flask API active YOLO8 model to detect vehicles and calculate density in API then post to Database.

Using Flask API to get data from Database to clients. Accuracy

Reference: https://github.com/TheUri01/TrafficDensity. Experience

Machine Learning Intern at VNPT-IT2

From 10/2024 to 01/2025

Collecting and analysis data about Tourist Data.

Building model predicted Time Series Data.

Participating in Computer Vision App for Attendance by Face-ID.

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