Machine Learning Engineer

Ho Chi Minh City, Vietnam

Phone: +(84-976-***-***

Gmail: adp7rc@r.postjobfree.com

Linkedin: TRAN Tuan-Vi

Github: Shindora

Google Scholar: Tuan-Vi Tran

TRAN TUAN-VI

EDUCATION

VNUHCM - University of Information Technology

Degree: Bachelor of Computer Science

Duration: Sept 2018 - Feb 2022

SKILLS

● Programming Language: Python // C++ // SQL

● Machine Learning Framework: TensorFlow // scikit-learn // PyTorch

● NLP toolkits: spacy // nltk // pyvi // underthesea // CoreNLP

● Web Application: Flask // Streamlit

● Big Data: Spark // Spark NLP // Map Reduce

● Cloud: AWS

● ETL frameworks: Airflow // Kedro // MLFlow

● Soft skills: Intermediately English

EXPERIENCE

Machine Learning Engineer Internship

Company: Kyanon Digital

Jan 2022 - Present

Contributions:

■ Data Crawling: BeautifulSoup, Selenium

■ Asynchronous tasks distribution: Celery, RabbitMQ

■ Face Recognition system:

● Design and develop workflows for data collection, data sampling, training, and evaluation deep learning model.

● Design UI using Streamlit.

● Cloud: AWS

ACHIEVEMENTS

● Top 30 (18th) AICovidVN 115M Challenge: Covid Cough Detection Challenge

(Link).

● Best student paper @12th IEEE International Conference on Knowledge and Systems Engineering (KSE 2020), Can Tho, Vietnam (11/2020). Build a search engine for the knowledge of the course about Introduction to Programming based on ontology Rela-model (Link).

● Paper @15th IEEE International Conference on Research, Innovation, and Vision for the Future (RIVF 2021), Ha Noi, Vietnam An Empirical Study for Vietnamese Constituency Parsing with Pre-training

(Link).

● Paper @Sensors and Materials Journal, Ontology-based Integration of Knowledge Base for Building an Intelligent Search Chatbot (06/2021) Ontology-based Integration of Knowledge Base for Building an Intelligent Searching Chatbot (Link).

CERTIFICATIONS

● 2019: FUNDAMENTALS OF DEEP LEARNING FOR COMPUTER VISION

● 2020: Introduction to Artificial Intelligence (AI)

● 2020: Machine Learning with TensorFlow on Google CloudPlatform

● 2021: Practical Data Science

● 2022: Neural Networks and Deep Learning

● 2022: Optimize ML Models and Deploy Human-in-the-Loop Pipelines

● 2022: Analyze Datasets and Train ML Models using AutoML

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