Engineer Intern Machine Learning
Resume:
INFORMATION
**********.********@*****.***
Phú Hưng, Phú Hựu, Châu Thành,
Đồng Tháp
https://github.com/vy11244
SKILL
LEADERSHIP
Have experience as a group leader of a
group of 5-10 members.
COMUNICATION
Adaptable in many environments quickly,
eager to learn and improve, sociable.
FLEXIBITY
Flexible to adapt to all situations, able to
work with pressure, in groups or
independently.
DATA BASIC SKILLS
Can use data tools such as SQL, excel or
Python. SQL and Python are studied at
the
university.
CERTIFICATE
05/ 2023
101 Blockchain Series : Blockchain
Bootcamp by Suci Blockchain Hub
10/2023
Applied Data Science with R by
IBM (AI Build and train neural
network architectures such as CNN,
RNN,
LSTMs, Transformers )
CAO KHÁNH VY
AI ENGINEER INTERN
ORIENTATION
I am a senior student majoring in AI at FPT University. Currently, I can spend all my time working for the company enthusiastically. With the solid knowledge I gained from school and a little experience after a period of time of internship. I believe I can contribute my best to the company's goals and hope to experience learning and personal development in your AI/Machine learning position. WORK EXPERIENCE
DATA ENGINEER INTERN // 01/2024 - 04/2024
FPT Software Quy Nhơn (AI Valley)
• Developed the ability to collaborate effectively within a team setting as well as work independently to achieve goals.
• Gained a comprehensive understanding of Apache Airflow for workflow orchestration and automation.
• Designed and implemented robust data pipelines, efficiently transferring data from diverse sources to data lakes and various target systems.
• Demonstrated expertise in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, ensuring data integrity and seamless integration. PROJECT
SAMPLE DATABASE: WIDEWORLDIMPORTERS
// 01/2024 - 04/2024
Member group
WideWorldImporters is a sample for SQL Server and Azure SQL Database. It showcases database design and how to leverage SQL Server features in a database best. My role and achievements:
• Building data sources for the data lake.
• Building data pipelines from the data lake to the data target.
• Writing SQL for the transformation process in Snowflake.
DATABASE SYSTEMS AT FPT UNIVERSITY // 09/2022 - 11/2022 Member group
With this project, I developed skills in database design and management, handling complex business requirements, and ensuring data integrity. I achieved 8.1/10 for deep learning gpa. My role:
• Database Design.
• Data Constraints: Implemented domain and referential constraints to ensure data integrity.
• Supporting data Insertion: Inserted sample data adhering to established constraints.
COMPUTER VISION AT FPT UNIVERSITY // 05/2023 - 07/2023 Member group
Mask recognition (Python, Tensorflow, OpenCV, Keras): Detect and recognize 11/2021
Machine Learning by Deeplearning.AI
(basic R programming tasks to complete
the data analysis process, create
relational databases and query the data
using SQL and R and communicate their
data findings using data visualization
techniques)
03/2023
Big Data by University of California San
Diego( be able to process, analyze, and
interpret massive and complex data
using current big data technologies
(Apache Spark, Mongodb ). Having the
basic skills to model, manage and
process big data of various sources and
formats. )
10/2022
Deeplearning Specialization by
Deeplearning.AI (AI Build and train neural
network architectures such as CNN,
RNN, LSTMs, Transformers )
02/2024
Natural Language Processing
Specialization by Deeplearning.AI
(Use logistic regression, naïve Bayes,
word vectors for sentiment analysis,
word translation; dynamic
programming, hidden Markov models
for autocorrect, autocomplete; RNNs,
LSTMs, GRUs for text generation;
encoder-decoder, self-attention for
sentence translation, summarization,
chatbot, and question answering. )
10/ 2023
Full Stack Software Developer(Familiar
with front-end technologies like HTML,
CSS, JavaScript, React, Bootstrap, and
back-end tools such as Node.js,
Express, Python, Django. Basic
understanding of deploying
applications using Containers,
Kubernetes, and Serverless Functions.
Built a GitHub portfolio with hands-on
projects.)
faces with or without masks. I achieved 8/10 for the final project of the subject. My role:
• Working/researching the core AL algorithm (tensorflow, openCV, Keras).
• Presenting in front of the lecturer.
DEEP LEARNING AT FPT UNIVERSITY // 08/2023 - 12/2023 Member group
Predicting emotions through comments (Bert, HTML, CSS, Javascript, Python): The website predicts customer emotions (positive-negative) and automatically returns thank you and apology pages based on the attitude text level. In addition, save customer comments on Google Sheets for statistics and evaluation. I achieved 7.7/10 for deep learning gpa. My role:
• Researching/ Discussing the core AI algorithm (LSTM )
• Presenting in front of lecturers.
EDUCATION
ARTIFICIAL INTELLIGENCE // 2021 - present
FPT UNIVERSITY
• GPA/Subject:
• Machine Learning -AIL303m (9.3/10):, Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Applied Data Science with R - DSR301m (8.7/10): Manipulating data, working with APIs, web scraping, using R Studio and JupyterLab, creating and managing databases, statistical analysis, predictive modeling, and presenting results via ggplot, leaflet and R Shiny, etc.
• Big data - BDI302c (9.9/10): be able to process, analyze, and interpret massive and complex data using current big data technologies (Apache Spark, MongoDB )The basic skills to model, manage, and process big data from various sources and formats.
• Natural Language Processing - NLP301c (8.6/10): I learned both classical machine learning skills and state-of-the-art deep learning techniques needed to build NLP systems. Be able to design applications that perform question- answering and sentiment analysis, create tools to translate languages, summarize text, and build chatbots!
• Deep Learning - DPL302m (7.7/10): Understanding deep learning models, such as simple neural networks, CNN, RNN, etc.
• Data Mining - DBM302m(8.9/10): I have gained knowledge in data mining, including data preprocessing, pattern discovery, visualization, and cluster analysis, with practical experience applying these methods to large datasets
• NLP - Natural Language Processing(8.6/10): I have gained experience in Natural Language Processing (NLP), including sentiment analysis, machine translation, text summarization, and chatbot development, using algorithms like logistic regression, naïve Bayes, and advanced neural networks such as LSTMs and GRUs."
• Latest overall GPA: 8.18
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