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DL Software Engineer @ NVIDIA
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I have graduated with my Master's and Ph.D. integrated degree in Machine Learning from Kyungpook National University, South Korea. I'm passionate about democratizing AI by helping the community in open-source projects (The Learning Machine, AI for COVID-19) and by sharing my personal codes. My main interests are Sequence Learning and Natural Language Processing with Incomplete Data.
Kyungpook National University
Masters and PhD Combined Degree, Electronics Engineering
January 1, 2014 – January 1, 2021
Brown University
Exchange Student, Computer Engineering
January 1, 2012 – January 1, 2013
Universidade Federal do Rio Grande do Norte
Bachelor of Science (BSc), Computer Engineering
January 1, 2009 – January 1, 2014
NVIDIA
Sr Deep Learning Software Engineer
April 1, 2021 – Present
Toronto, Ontario, Canada · Remote
The Learning Machine
Machine Learning Team Leader, Programmer, and Writer
January 1, 2019 – January 1, 2020
Kyungpook National University
Graduate Research Assistant (Masters and PhD)
March 1, 2014 – February 1, 2021
Daegu, South Korea
Brown University School of Engineering
Summer Intern
June 1, 2013 – August 1, 2013
Providence, Rhode Island, United States
Industrial Informatics Laboratory (LII, UFRN)
Undergraduate Research Assistant
August 1, 2011 – August 1, 2012
Natal, Rio Grande do Norte, Brazil
NASA Space Apps Challenge for COVID-19
March 1, 2020 – March 1, 2020
Mapping the environmental benefits of COVID-19 lockdowns: A lesson for combating air pollution
Deep Learning Labs Global AI
February 1, 2020 – February 1, 2020
Time series prediction for COVID-19: new cases and deaths
Learning Docker
LinkedIn Learning ⋅ Course Certificate
June 24, 2026 – Present
Deep Learning: Image Recognition
LinkedIn Learning ⋅ Course Certificate
June 24, 2026 – Present
Fundamentals of Accelerated Computing with CUDA C/C++
NVIDIA Deep Learning Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background includes diverse academic and professional experiences across different countries (South Korea, USA, Brazil), suggesting adaptability. Involvement in the NASA Space Apps Challenge and Deep Learning Labs Global AI indicates a proactive, problem-solving attitude and interest in impactful projects. The transition from a Sr Deep Learning Software Engineer to a Data Analyst role would require assessing motivation and alignment with data analysis specific responsibilities, which are not fully detailed in the provided projects.
Soft Skills & Operational Fit
The candidate's experience as a Machine Learning Team Leader and Graduate Research Assistant suggests leadership potential, mentoring capabilities, and a strong research-oriented mindset. Peer review experience indicates critical thinking and attention to detail. However, the provided data does not offer direct insights into communication style, stress handling, or team collaboration in a corporate setting beyond project descriptions.