Heewon Hwang
Research Assistant at Yonsei University School of Business
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolHeewon Hwang is a research-focused BBA student at Yonsei University with 10 years of practical experience blending quantitative finance, data engineering, and machine learning. As a Research Assistant, he engineered large-scale ELS and municipal bond datasets and automated data collection from Korea’s DART and Bloomberg, pairing financial domain knowledge with scripting and API work. He led a quant team to the DB GAPS Challenge finals and has hands-on ML experience as a contributor to Deep-BCI, implementing RNN/CNN models in PyTorch for EEG-based brain-computer interfaces. A builder at heart, Heewon co-founded student platforms and has run pro bono consulting projects, showing a rare mix of product instinct, academic rigor, and social impact orientation. Based in Seoul, he bridges business strategy and AI engineering, with a knack for turning messy regulatory and financial data into actionable analysis.
10 years of coding experience
3 years of employment as a software developer
Elementary, Middle, and High School Education, Elementary, Middle, and High School Education at American International School ChennaiBachelor of Business Administration - BBA, Business Administration, AI Intensive, Bachelor of Business Administration - BBA, Business Administration, AI Intensive at Yonsei UniversityBachelor of Business Administration - BBA, Business Administration, AI Intensive, Bachelor of Business Administration - BBA, Business Administration, AI Intensive at Yonsei University School of Business
Korean, English, Spanish
Github Skills (17)
pytorch10
rnn-model10
n10
mask-rcnn10
deep-learning10
trainings10
faster-rcnn10
modeling10
evaluation9
python9
machine-learning9
eval9
data-preprocessing8
data-science8
scikit-learn5
Programming languages (1)
Github contributions (5)
DeepBCI/Deep-BCI
Aug 2018 - Oct 2020
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:59 commits, 54 pushes in 2 years 2 months
Contributions summary:Heewon primarily contributed to the development and training of deep learning models for EEG-based brain-computer interfaces (BCIs). Their work focused on building and evaluating recurrent neural network (RNN) and convolutional neural network (CNN) models, specifically using PyTorch. The user implemented data loading, model definition, training loops, and evaluation metrics for EEG signal classification and driver vigilance estimation. The commits demonstrate a strong understanding of deep learning principles applied to the BCI domain.
brainssveperpdeep-learningbci
shhwang-lguplus/SIMCAM_SDK
Jan 2022 - Aug 2023
SimCam SDK
Contributions:1 push in 1 year 7 months
sdlsdl2sdk
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