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R&D Research in Natural Language Processing

Location:
Ho Chi Minh City, Vietnam
Posted:
September 11, 2022

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Resume:

Education & Language

Bachelor of Science in Computer Networks & Communications

• HCMC VNU - University of Information Technology

• 2014 – 2019 - GPA: 2.95/4

English

TOEIC score: 670

Personal Projects

https://www.kaggle.com/code/lenguyendinhkhanh/classification-algorithms

• Objective: To build a predictive model using Classification algorithms

(KNN, Decision Tree, SVM, LogisticRegression).

Ultimate AWS Certified Cloud

Practitioner 2022 - Ultimate

AWS Certified Solutions Architect

Associate 2022 Udemy

Courses

IBM AI Engineering Professional

Certificate Coursera

• Learn the AWS Fundamentals

(EC2, ELB, ASG, RDS, ElastiCache, S3)

• Learn the Serverless Fundamentals

(Lambda, DynamoDB, Cognito,

API Gateway).

• Understand the Well Architected

Framework, Disaster Recovery.

CCNAX NewStar Training Center

https://www.kaggle.com/code/lenguyendinhkhanh/music-genre-classification Experience

IT Helpdesk FPT International Telecom 2.2020 - now

• Support onsite at VIB, UOB, Techcombank.

• Monitor network systems and devices in the office.

• Assist users in identifying and solving software & hardware problems.

• Research and deploy tools to automate repeated tasks. Tech Supporter Pacisoft Vietnam 6.2018 - 12.2019

• Support customers in operating, identifying, and solving problems related to software provided by the company.

• Participate in the process of building and operating the CRM system. Lê Nguyễn Đình Khánh

AI/Machine Learning Intern

Skills

adsjdm@r.postjobfree.com +(84-912-***-***

• Pandas

• Seaborn

• Matplotlib

• Python

• C++

• Regression: Simple and Multiple

Linear Regression

• Classification: KNN, Decision Tree,

SVM, Logistic Regression

• Clustering: K-Means, Hierarchical

Clustering, DBSCAN

Ho Chi Minh City

Khánh

• Objective: To recognize the genre of a specific song snippet, using Neural Networks & Convolutional Neural Networks.

• In this program, I learn practical

working knowledge of ML libraries &

DL frameworks: SciPy, ScikitLearn,

Keras, PyTorch, and Tensorflow.

Techinical Stack

Algorithms

• Tensorflow

• Pytorch

• Keras

• SciKit Learn

• Numpy

It is not easy to start over with a completely new career direction. But now with my passion for AI & Machine Learning, along with a scientific mindset and strong motivation to learn, I believe that I can grow very fast in this field and actively contribute to your company. I am seeking a chance to join practical projects about NLP, ASR system, and Computer Vision. Soft skills

• Detail-oriented

• Critical Thinking

• Teamwork

• Problem Solving

Project: Loan Prediction

Project: Music Genre Classification

https://www.kaggle.com/lenguyendinhkhanh/sign-language-mnist

• Objective: To recognize sign language by using CNN Model. https://www.kaggle.com/lenguyendinhkhanh/named-entity-recognition

• Objective: To recognize entities within a sentence with BI-LSTM Model. Project: Sign Language Mnist

Project: Named Entity Recognition



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