About me
I am a Computer Science student with a strong interest in Software Development & Artificial Intelligence.
Besides coding, I am passionate about building technology communities. Through a combination of hard work, I have contributed to
many national and international technology communities such as Facebook Developer Circle: Hanoi, Developer Students Club by Google
Developers, SheCodesVietnam, GirlScriptIndia, JunctionX to successfully share the knowledge and
opportunities to people around the world.
On the other hand, I participated in several global summits such as Global Youth Leaders Summit 2019, Belt and Road Global Youth Leaders Summit 2019,
Google Developer Student Club Lead Summit 2019, Asia-Pacific Youth Labor Trend Forum 2019, ASEAN Communications and Preparations of ASEAN Chairmanship 2020
to take social responsibility and apply my technology knowledge to transform the community and create an impact on our society.
- Birthday: 25 March 2001
- Website: www.hoduchieu.tech
- Phone: +84 942 960 025
- Email: hoduchieu01@gmail.com
- Research Interst: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision
- Languages: Vietnamese, English, Korean
- Download my curriculum vitae
I am happy to connect with recruiters, software engineers, friends, community program leads and anyone who share some of the interests with me! I'm currently looking for internships in software development and machine learning.
Resume
Education
HUS High School for Gifted Students
2016 - 2019
High School Diploma - HUS High School for Gifted Students, Vietnam National University
Hanoi, Vietnam
Experience
June 2020 - Present
Core Maintainer of the Open Source Training Bot
- Build out a Messenger open source training bot for Developer Circles under guidance and mentorship from Facebook
- Collaborate with Facebook engineers to maintain project, review pull requests and manage issues
Institute of Mathematics, Vietnam Academy of Science and Technology
June 2020 - Present
Student Researcher - Hanoi, Vietnam
Advisor: Associate Professor Phan Thanh An
Project: Aircraft Type Recognition Based on Orthogonal Convex Hull and Machine Learning models
- Received a research grant to work as a student researcher under the supervision of Associate Professor Phan Thanh An and conduct research on computational geometry and machine learning
- Hosted 3 scientific seminars and participated in graduate classes on convex optimization
2020 MOST GASE Global Talent Internship Program: Artificial Intelligence and Green Technology
June 2020 - Present
Virtual Internship - Taipei, Taiwan
Supervisor: Distinguished Professor Jacky Baltes
- Got selected by National Taiwan University and Ministry of Science and Technology, Taiwan to take an internship under the supervision of Distinguished Professor Jacky Baltes from National Taiwan Normal University
- Participate in all online activities including Orientation, Featured Speech: Artificial Intelligence and Green Tech, Mandarin & Culture Course A, Cultural Experience and complete 6 weekly work logs
Cinnamon AI Labs
January 2018 - July 2018
Internship - Hanoi, Vietnam
Well-recognized globally by Forbes Global as top 25 AI company to watch in 2018, top by Japan government as top AI startup in Japan and featured in many regional/ national newspaper
- Awarded Intelligence Fellows Program scholarship to join and complete an intensive AI training program focusing on natural language processing and image processing by Cinnamon AI engineers and 2 AI expert lecturers
- Accumulated knowledge on computer vision, semantic segmentation, object recognition, lexical analysis, information retrieval, name entity recognition, deep learning for text processing
Viettel Cyber Security - Viettel Group
August 2017 - December 2017
Internship - Hanoi, Vietnam
Vietnam's largest mobile network operator
- Researched on machine learning to build an application in detecting wide-area botnet based on domain name resolution data of network operator for early detecting DDoS attacks.
- Deployed system for detecting malicious domain names using Python with 98% accuracy on 2,000,000 domain names by using machine learning and deep learning
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