Data Scientist AI Engineer

NGUYEN NHAT HOANG

Address: Phuong Liet Street - Thanh Xuan District - Ha Noi - Vietnam Phone: +849******** Email: *************@*****.*** - Github: https://github.com/nhathoang0110 SPECIALTIES

Computer vision, Artificial Intelligence, Machine Learning, Deep Learning, Image Retrieval EDUCATION

Hanoi University of Science and Technology (HUST) 2017 - 2022 School of Information and Communication Technology

• Major: Computer Science CPA: 3.4/4

Thanh Chuong 3 High School 2014 - 2017

• Graduation exam scores: Math: 10 Physical: 9.25 Chemistry: 9.75 WORKING EXPERIENCE

Carpla JSC - Tasco July 2022 - Now

• Role: Data Scientist

• Job Description:

– Build OCR module to extract information from Citizen identity card, Identity card.

– Building Used car price prediction system

– Build a crawler system.

AWL-VIETNAM Feb 2020 - March 2022

• Role: R&D Intern

• Job Description: Research on Computer Vision, focusing on problems such as Face Re-id, Human Attention Estimation, Product Recognition, etc.

BK Software May 2019 - DEC 2019

• Role: Java Web Intern.

TECHNICAL SKILLS

• Languages: Python, Dart, Java, C/C++, JavaScript.

• Technologies/Libraries: Pytorch, Tensorflow, ONNX, OpenVINO, MNN, Tensorflow Lite, OpenCV, Numpy, Pandas, Flask, Math- plotlib, SkLearn, Git, Flutter.

PROJECT

Smart Shopping Cart FEB 2022 - JUNE 2022

Build an application attached to shopping cart to automate shopping. Using Rotated Product Recognition in combination with weight sensor and raspberry pi.

• Product detection: Rotated Yolov5.

• Product Vectorization: MobilenetV3,ShuffleNetV2Plus.

• Deep learning framework: Pytorch,TensroflowLite.

• Mobile Application Framework: Flutter.

TIME ATTENDANCE SYSTEM USING FACE RECOGINITION Mar 2021 - May 2021 Building a time attendance support system using face detection + face direction estimation + face tracking + face vectorization.

• Face detection: RetinaFace.

• Face direction estimation: 3DDFA.

• Face vectorization: ArchFace.

• Face tracking: Sort.

• Convert model via openvino framework for optimization. DETECTING DISTRACTED DRIVER MAR 2019 - MAY 2019

Detect distracted driver using CNN network using kaggle’s dataset.

• Dataset: https://www.kaggle.com/c/state-farm-distracted-driver-detection.

• CNN backbone: Vgg16, MobilenetV2.

• Deploy: TensorflowJs.

TEXT CLASSIFICATION March 2020 – June 2020

Re-implemented some basic Machine Learning models: Naïve Bayes, Logistic Regression, K-means, SVM and built some Deep Learning models: ANN, CNN, LSTM to work on text classification using PyTorch. SPELLING CORRECTION SYSTEM Mar 2021 - May 2021

Building a spelling correction system using Bi-LSTM + N-grams + Bert AWARDS

1st prize, Zalo AI Challenge 2021 – 5K Compliance - Personal

• Create algorithm to detect whether or not a person or group of individuals in a picture adhere to the "mask" and "distance" standards.

• Using person detection for data cleaning and Swin-Transformer for image classification 2nd prize, Income Classification

• Build a machine learning model that helps national governments predict an adult’s annual income based on the data provided. COURSE

• Machine learning: Andrew Ng, Cousera.

• Deep learning specialization: Andrew Ng, Cousera.

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