AI R&D Researcher

VO ANH KIET

Curriculum Vitae

Thu Duc City, Ho Chi Minh City

091******* *************@*****.*** github linkedin EDUCATION

University of Technology and Education, Ho Chi Minh City October 2020 - July 2024 Bachelor of Computer Engineering Technology

GPA: 8.18

SKILLS

Programming Languages Python, C/C#/C++, Matlab, HTML/CSS/JavaScript. Operating Systems Windows, Ubuntu.

Machine Learning Regression, Classification.

Deep Learning CNN, RNN, LSTM, Transformer.

Deep Learning Applications Computer Vision, Natural Language Processing. Deep Learning Frameworks PyTorch, TensorFlow.

Data Science Libraries NumPy, Pandas, Matplotlib, Scikit Learn, Keras. Foreign Languages English (IELTS 7.0).

Others CUDA toolkit, OpenAI, Flask, Streamlit

EXPERIENCES

TMA Solutions May 2023 - August 2023

AI/Machine Learning Intern

· Developed a project focused on voice recognition authentication.

· Built and implementedacustomlight-weight deep learningmodeltailoredforvoicerecognition,achieving99%accuracy with no more than 86,000 number of trainable parameters.

· Technologies used: Python, PyTorch, MFCCs, LSTM, Spectral Gating PROJECTS

Light-ExpansionNet February 2024 - April 2024

· Enhanced cost-efficient image captioning via ExpansionNet v2 optimization, achieving a 49% reduction in parameters with equivalent performance. Consist of the three improvements: Swin-Transformer v2, Memory-Augmented Multi- Head Attention and Multiplicative Residual Embedding layer.

· Integrated the model into a chatbot application, enabling better image understanding.

· Technologies used: Python, PyTorch, Streamlit, OpenAI, Swin-Transformer v2, Memory-Augmented Attention

· Github: github.com/va-kiet/Light-ExpansionNet

LiPoSeg September 2023 - October 2023

· Proposed a lightweight improvement for PointSeg in LiDAR point-cloud semantic segmentation, achieving a 63% re- duction in network size with only a 1% performance drop. Consisted of the two improvements: Grouped Enlargement Layer and Region Re-weighting Layer.

· Technologies used: Matlab, Grouped-CNNs, Region Re-weighting

· Github: github.com/va-kiet/LiPoSeg

Voice Assistant’s Wake word detection March 2023 - May 2023

· Developed a light-weight deep learning model for wake word detection with self-recorded dataset, achieving 99% accu- racy.

· Technologies used: Python, PyTorch, LSTM, MFCCs

· Github: github.com/va-kiet/Voice-Assistant-wake-word-detection-model Skin Lesion Images Classification February 2023 - March 2023

· Utilized multiple pretrained backbones to classify seven classes of skin lesion images from the ISICChallenge2018Task 3 dataset.

· Technologies used: Python, Pytorch, ResNet101, ResNet34, VGG19, SwinV2

· Github: github.com/va-kiet/isic2018-task3-skin-lesion-image-classification PUBLICATIONS

Conference Proceedings

· Anh-Kiet Vo, Minh-Tuan Nguyen, Thien Huynh-the, “Enhancing Cost-Efficient Image Captioning through Expansion- Net v2 Optimization”, 7th International Conference on Green Technology and Sustainable Development, July 2024,

(to be published on Springer).

· Anh-Kiet Vo, Thien Huynh-the, “LiPoSeg: A Lightweight Encoder-Decoder Network for LiDAR-based Road-Object Se- mantic Segmentation”, Proceedings of the 12th International Symposium on Information and Communication Tech- nology, Pages 422–428, December 2023. Link: doi.org/10.1145/3628797.3628900. STRENGTHS

· Ability to learn and adapt quickly.

· Strong teamwork and independent work skills.

· Resilient and undaunted by difficulties.

· Eager to explore new technologies.

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