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AI Engineer at NAUTILUS TECH .,JSC- Claim this Profile
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Bio
Credentials
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Supervised Machine Learning: Regression
IBMMar, 2023- Oct, 2024 -
Exploratory Data Analysis for Machine Learning
IBMFeb, 2023- Oct, 2024 -
What are the Chances? Probability and Uncertainty in Statistics
John Hopkins UniversityJan, 2023- Oct, 2024 -
Introduction to Machine Learning in Production
CourseraOct, 2021- Oct, 2024 -
Machine Learning Data Lifecycle in Production
CourseraOct, 2021- Oct, 2024
Experience
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NAUTILUS TECH .,JSC
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Vietnam
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IT Services and IT Consulting
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1 - 100 Employee
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AI Engineer
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Mar 2021 - Present
- Designed and implemented a complete face recognition system from edge to server, which has: + Low latency: < 0.13 second + Precision: > 95% in real world use cases + High Endurance with downtime < 1% + Flexibility in a plugin form and an easy-to-modify system + High security through SSL and AES256 encryption - Enhanced a FIQA (Face Image Quality Assessment) algorithm to eliminate 99.9% of false alarms and bad face images with minimal effort - Developed a filter combination that excludes 99% of bad faces, which significantly reduces the risk of erroneous decisions caused by poor quality input data. - Integrated with a third-party IoT system to solve access control problem. - Developed a lightweight face and face mask detector in the early stages of the COVID-19 pandemic. - Deployed a ResNet-50 equivalent model on an edge device (Jetson Nano) for real-time product. - Implemented a modular, general-purpose code base in C++ to develop all edge applications within the company. Show less
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AI Engineer
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Aug 2020 - Mar 2021
- Implemented a logo retrieval system and successfully deployed it in a dashboard using Streamlit - Performed web scraping of images from the internet utilizing Selenium and Beautiful Soup for the purpose of data augmentation - Implemented a logo retrieval system and successfully deployed it in a dashboard using Streamlit - Performed web scraping of images from the internet utilizing Selenium and Beautiful Soup for the purpose of data augmentation
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Education
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ĐH Bách Khoa Hà Nội
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering -
Tuyen Quang Gifted High School
High School Diploma, Physics