Machine Learning Engineering

NGUYEN TUAN NGOC

+84-09-123-***** Ho Chi Minh, Viet Nam

************@*****.*** linkedin.com/in/ngoc-nguyen-tuan-7663841b3/ github.com/tuanngocfun OBJECTIVE

To obtain a Machine Learning Internship position at Wisdom Software, leveraging my strong fundamentals in pro- gramming and mathematics, and my passion for AI and automation systems. As a fourth-year undergraduate com- puter science student from Vietnamese-German University, I am eager to collaborate with talented professionals and contribute to real-world projects in AI, Machine Learning, Deep Learning. I am motivated to face challenges, work on difficult tasks, and commit to long-term projects. With my strong background in computer science and experience in C/C++ and Python, I am excited to learn and apply Bayesian Inference, probabilistic graphical models, computer vision and image processing techniques, and deep learning methods to solve real-world problems. EDUCATION

Bachelor of Computer Science, Vietnamese-German University Expected 2023 PROJECTS AT VIETNAMESE GERMAN UNIVERSITY

Individual project: Linear regression. 15th January 2021 - 10th February 2021 Build a project that calculates the linear regression formula by applying the conjugate gradient method and writing it all in C++.

Collaborative project: Time scheduler. 25th December 2021 - 15th January 2022 Build a project that sends notification alerts via mail using Java, in which I learn how to apply a Java GUI like JavaFX with the support of Science Builder and how to use Spring Boot annotations to boost the performance. Collaborative project: Food Supply Chain. 10th October 2022 - 4th November 2022 Build an entire end-to-end backend server API and middleware, a controller underlying the NodeJS platform’s usage, and write guidance code for the front end with plain HTML, CSS, and JavaScript. Collaborative project: Text detection using YOLOv5. 15th November 2022 - 6th December 2022 Build a project that can recognize text in the screenshot images as input and complete it efficiently by utilizing useful features and open-source tools such as the YOLOv5 architecture model for training the data set. Individual project: Credit risk analysis. 18th December 2022 - 23rd December 2022 Build a project incorporating code from various sources found online, study and comprehend their codes, and then create my own filter based on the implementation concepts. Additionally, test the performance of another machine learning algorithm, such as a Support Vector Machine, to see if a new model can enhance the overall performance.(Try it here)

SKILLS

Technical Skills Establish end-to-end server, write query database, deploy docker Tools and Frameworks Jupyter, Visual Studio, Visual Code, Google Colab, NodeJS, Gradle, Postman, Gitlab, Github

Programming Python(Numpy, Pandas, Matplotlib, Sklearn), Java, JavaScript(ReactJS), TypeScript, HTML, CSS, C, C Sharp, C++, GO, SQL(PostgreSQL)

Document Creation Microsoft Office Suite, LaTex, Markdown Soft Skills Presentation, teamwork, communication

Languages Vietnamese, English, German

ACHIEVEMENTS

DAAD Scholarship for an exchange semester in Germany August 2021 - March 2022 DAAD Additional Sur-place scholarships August 2021 - February 2022 CERTIFICATIONS

Supervised Machine Learning: Regression and Classification Certified by Stanford university Sep 2022

Neural Networks and Deep Learning

Certified by Stanford university Oct 2022

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Certified by Stanford university Oct 2022

Problem Solving (Basic)

Certified by Hackerrank Jan 2023

Unsupervised Learning, Recommenders, Reinforcement Learning Certified by Stanford university Feb 2023

SQL(Basic)

Certified by Hackerrank Feb 2023

C Sharp(Basic)

Certified by Hackerrank Feb 2023

EXTRA-CURRICULAR ACTIVITIES

• Participated in Google Dev festival December 2022

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