D Intern Engineer

Nguyen Minh My

AI Engineer Intern

Mobile: 039*******

Address: Thu Duc City

Mail ID: **.************@*****.***

Github: https://github.com/NguyenMinhMY

LinkedIn: https://www.linkedin.com/in/my-nguyenminh SUMBARY

• I am a passionate individual with an interest in the field of Artificial Intelligence. I have some basic experience working with classical machine learning algorithms, deep learning frameworks such as TensorFlow and PyTorch, as well as modern CNN architectures like VGG and ResNet. As a quick learner with excellent problem-solving skills, I am eager to gain more practical experience in the industry through an internship. I am also a dynamic team player who enjoys collaborating with others to achieve common goals

EDUCATION

• Bachelor of Science in Computer Science (2020 - 2024) Third-year student, Talent Engineering Program, Vietnam National University - Ho Chi Minh University of Technology

CGPA: 8.23

• MS in Computer Science via Undergraduate Pathway Program (2023 - 2025) Vietnam National University - Ho Chi Minh University of Technology SKILLS

• Programing Languge

Python, C++, R, C, C#, Java, Haskell

• Libraries/Frameworks

Tensorflow, Keras, PyTorch, Pandas, Numpy, Matplotlib, OpenCV

• Databases

MySQL

• Other Skills

Using Git to manage resources.

Ability to read and understand English documents, and communicate in English at a basic level. PROJECTS

• Facial Emotion Recognition (August 2022 - January 2023) Several methods were researched and tested to train the FER2013 dataset to detect emotions on human faces, including convolutional neural networks such as VGG and ResNet. In addition, traditional feature extraction methods such as SIFT and facial landmarks were also experimented with. Through experimentation, a method combining multiple network models was proposed, consisting of a main network to train the FER2013 dataset and auxiliary networks to train the areas containing important emotion-related information on the face such as the mouth, nose, left eye, and right eye. The models were then compared and evaluated to select the most efficient one

(Github).

• Smart Farm (March 2023 - May 2023)

Developing a smart farm management system that allows remote supervision is a great idea that can increase efficiency and productivity. The integration of a face recognition system to identify employees when they enter the farm and send notifications to the owner is a useful feature for security and management purposes.

The process of recognizing human faces involves capturing the face image, locating the face re- gion, encoding the image to a feature vector, and comparing it with known human images in the database. Using a threshold value of 0.4 to differentiate between known and unknown persons is a reasonable approach.

The integration of an automatic system to turn on or off the water pump and the tarpaulin based on sensor data is also an excellent feature for efficient farm management. Using a decision tree algorithm to make decisions based on temperature, humidity, and luminance sensor data can help optimize water usage and protect crops.

Overall, the smart farm management system with face recognition and automatic control features can help increase efficiency, productivity, and security on the farm (Github).

• Nonogram and Kakurasu Games (February 2022 - March 2022) Using search algorithms such as blind search (BFS, DFS) and Heuristic search (A*) to find the so- lution of 2 problems (2 games) Nonogram and Kaurasu. From there evaluate the performance and the speed of finding the solution of each algorithm (Github).

• Chess Game (April 2022 - May 2022)

Using the mini-max algorithm with depth k to choose the next move of Chess Engine, with each depth k and a different reward point evaluation heuristic function, the Engine will choose the next move in a different ”smart” way together. Also expand the game level with 3 levels of easy, medium, and hard, and can let players with engine or engine play with the engine. From there, evaluate the performance and playability of Chess Engine at each level (Google Colab). EXPERIENCES

• Lab member (July 2022 – Now)

Participating in scientific research on AI topics at IASLAB under the supervision of Master Vo Thanh Hung - a lecturer at Ho Chi Minh City University of Technology (Lab Infor)

• Teaching Assistant (December 2022 – Now)

Working as a teaching assistant for the Programming Techniques course at Ho Chi Minh City Uni- versity of Technology

PUBLICATIONS

• Multi-modal withMultipleImageFiltersforFacialEmotionRecognition(Accepted) (2023) Conference on Information Technology and its Applications 2023 (International Track) Thong T. Huynh, My M. Nguyen, Phong T. Pham, Nam T. Nguyen, Tien L. Bui, Tuong Nguyen Huynh, Duc Dung Nguyen, and Hung T. Vo

ACTIVITES

• Online green summer campaign (July 2021 - August 2021) Participating in fundraising, and sharing activities on social networks with the aim of conveying positive energy to everyone during the isolation period due to the Covid-19 pandemic

• Healthy Student Activities (June 2021 - July 2021) Joining the healthy training challenge and sharing it to encourage everyone to exercise together during the Covid-19 pandemic

• Voluntary Blood Donation (September 2022, February 2023) Donating blood voluntarily at the blood donation station in District 10 to help save patients’ lives in an emergency

• Volunteer Gift Giving Campaign (January 2023)

Planning and coordinating the delivery of little presents to those who are less fortunate and homeless on the streets of Thu Duc City.

REFERENCES

• HUNG Vo Thanh, PhD, Ho Chi Minh University of Technology and OLLI Technology Corp

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