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Machine Learning Computer Science

Location:
Portland, OR
Posted:
July 08, 2024

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Resume:

Calisthenics

Linguistics

Sailing

503-***-****

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

tlevietpdx

Portland, Oregon

C O N T A C T P R O F I L E

S O F T S K I L L S

E D U C A T I O N

W O R K E X P E R I E N C E

Problem solving

Attention to details

Quick learner

Team player

Portland State University

Master in Computer Science

Fall 2023 - Winter 2025 (Expected)

GPA: 3.96

HCMC University of Science

Bachelor in Computer Science

2018-2022

GPA: 3.78

Machine Learning Engineer

SoftwareOne Vietnam

Monthly Subscription (Time series) Prediction

Objective: Create and tune two different models (DeepVAR vs. Prophet) Tech stack: SQL, Python (DeepVAR), AWS Redshift, S3 Hashtag & categorization from XML

Objective: Mine existing XML files (designed workouts by human expert) to produce hashtags and labels for clustering.

Tech Stack: XML, Python (Tokenization, TF-IDF, LDA) Credit card fraud detection (Big data analysis)

Objective: Construct ML pipelines to ensure smooth and continuous predictions for big data chunks.

Tech Stack: Azure Databricks, ResponsibleAI, Spark, Azure Blob, Azure DataLake Storage Gen2

Bot Framework - Customized ChatGPT integration

Objective: Create and deploy chatbot powered by ChatGPT to handle queries and scenarios from both clients and internal employees Tech stack: Azure Botframework, ChatGPT API, Langchain, Vector Database ChromaDB

2022 - 2023

I am a positive and collaborative individual with a strong enthusiasm for integrating machine learning into various applications. With a solid foundation in data science and a keen interest in real-world problem-solving, I thrive in team environments where innovative ideas and diverse perspectives drive success. My passion lies in leveraging machine learning to enhance efficiency, improve decision-making, and create impactful solutions across different industries while maintaining ethical and responsible aspects of intelligent models.

I N T E R E S T S

V I E T T H A N H, L E

M A C H I N E L E A R N I N G E N G I N E E R

Research Intern

Katalon

Research on test cases generation and automate testing using Katalon app. Develop state-of-the-art graph representation of AUT from existing human test cases.

Generate and optimize test sets to save time while retaining fault coverage. Visualize interactive graph to analyze results.

Automate exploration and find new faults.

2021 - 2022

T E C H N I C A L S K I L L S

C++, Java, Javascript, Bash, SQL, Python

GCP, Azure, AWS

Airflow, Kubernetes, Spark

P E R S O N A L P R O J E C T

MIT App Inventor (Community Award 2018)

Game Developmment:

3D Unity game

2D Rust game

Image & Caption generator from description (GCP scalable application) Lightweight real time hand gesture recognition

Dimensionality reduction comparison

A W A R D S



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