Curriculum Vitæ

You can find my print version CV in here
(Last Updated: 11 Feb, 2024)

◎ Education


✘ Master of Science in Applied Data Science

Sep 2024 -

University of Southern California, Los Angeles, CA
▹ Courses: Foundation of Data Management, Machine Learning for Data Science, Foundations and Application of Data Mining, Analysis of Algorithms

✘ Bachelor of Science in Physic & Computer Science

Mar 2017 - Feb 2023

Kyung hee University, Seoul, Republic of Korea
▹ Completion of Big Data & AI Track in the Physics Department
▹ Courses: Computational Physics, Physics with Big Data Analysis, Introduction to Quantum Information, Computer Structure, System Programming

◎ Skills


✘ Programming Languages

C/C++, Python, R, Java, Bash, SQL, Assembly (x86), Emacs Lisp, Makefile, HTML, XML, LaTeX

✘ Frameworks

CUDA, Boost, OpenMPI, Scikit-Learn, Keras, TensorFlow, PyTorch, Hugging Face, Spark, Flask, Django, Selenium, Metasploit

✘ Technologies

Linux, Git, Hadoop, Docker, AWS (EC2, DynamoDB), MongoDB, MySQL, PostgreSQL, Firebase, Tableau, Jupyter Notebooks

✘ Languages

English (Fluent), Korean (Native), Mandarin Chinese (CEFR C1)

◎ Projects


✘ Automatic Trading Program using Transformer |StradIAN

Jun 2024 - Present

C++, CUDA, Boost, Python, TensorFlow, Keras, Linux (Arch Linux), MariaDB
▹ Developed real-time trading and price collection algorithms for High-Frequency Trading (HFT), along with order routing algorithms for cryptocurrency, stock market, index funds and exchange rates, and implemented a Backtesting environment for strategy validation
▹ Designed long-term price prediction algorithms using Quantitative Analysis (Quant) and Transformer Deep Learning models
▹ Implemented reliable, Responsive Decision-making system for portfolio optimization and manager priority settings

✘ Transfer Learning for Image Classification |TransferLearning

Jun 2024 - Present

Python, TensorFlow, VGG16, ResNet50, RestNet101, EfficientNetB0
▹ Applied Transfer Learning using pretrained Deep CNN models to build an image classification model.
▹ Achieved an AUC of 0.98, demonstrating high classification accuracy on the new dataset.
▹ Optimized model performance through fine-tuning and advanced preprocessing techniques, ensuring high generalization.

✘ Natural Language Query Parser |ChatDB

Jun 2024 - Present

Python, NLTK, TCP, SSL/TLS, Selenium, Meta Llama 3.2, Linux (Ubuntu), MariaDB, MongoDB
▹ Developed a Crawler to collect real-time cryptocurrency, stock market, and index fund prices, enabling continuous data updates for analysis
▹ Implemented a framework for User Interface and Relational Algebra Transformation and execution of SQL queries across multiple tables
▹ Fine-tuned the Meta Llama 3.2 LLM model to achieve higher accuracy and used it to improve natural language parsing for precise query results

✘ XPS data multi-label classifier using 1D CNN Deep Learning |XPS Analyzer

Jun 2024 - Present

C/C++, Python, PyTorch, NIST SESSA, Linux (Fedora)
▹ Created a framework to generate 75k high-dimensional synthetic X-ray photoelectron spectroscopy datasets using NIST’s SESSA software
▹ Built a 4.5M parameter model with 1D CNN layers to predict contamination thickness and the types and distribution of 81 elements
▹ Achieved high predictive accuracy with an R2 score of 0.998 for contamination layer thickness and 0.990 for elemental distribution

◎ Experience


✘ Research Student | Surface & Organic Nano Device Lab

Mar 2022 - Feb 2023

Python, Scikit-Learn, R, Shiny, Bash, Dialog, Linux (Ubuntu)
▹ Automated AES and XPS optical equipment, integrating them into a server-based system for streamlined operation and data management
▹ Developed a framework to replace Origin for automated graph editing and visualization of multi-dimensional data on the server
▹ Proposed and trained senior researchers in applying Machine Learning (ML) and Deep Learning (DL) to Optical Surface Analysis research

✘ Research Assistant with Stipend | Surface & Organic Nano Device Lab

Sep 2021 - Feb 2023

C++, CUDA, Python, MATLAB
▹ Collaborated with the Korea Institute Of Standard and Science (KRISS) to research XPS data analysis methods using Machine Learning (ML) and Deep Learning (DL) Technologies
▹ Conducted research using PCA, FFT, and Compressed Sensing techniques to enhance the resolution of data lost during measurement processes
▹ Installed a high-performance Docker Server with multiple GPUs for research lab use, optimizing computational resources for intensive tasks

✘ Research Student | Complex System & Information Lab

Nov 2020 - Feb 2022

C, OpenMPI, Fortran, Bash, Linux (Fedora)
▹ Oversaw the expansion and upkeep of the large-scale Multi-Processor (MP) Server supporting 4 computational physics research labs ▹ Developed parallel algorithms for CPU using Numerical methods and Monte Carlo simulations to optimize computational efficiency Jun 2020

✘ Data Science \& Analytics Internship | Maple Investment Partners

Jun 2020 - Jul 2020

Python, Scikit-Learn
▹ Built a System to Collect and Analyze venture investment data, providing insights into investment trends and opportunities ▹ Researched and analyzed the solar energy upstream industry, offering data-driven investment insights for strategic investments

◎ Other Academic Activities


✘ Completion of Internation Academic Program at University of Southern California

Apr 2024

✘ Applied Physics Division Symposium Completion

Feb 2023

Busan, South Korea

✘ Wrote 3D missile simulation code

Oct 2022

Synchronous simulation using IPC between C++ and Python

✘ Advanced Data Analytics Professional - ADP

Mar 2022

Passing only the theory test during the theory and practical exam

✘ Advanced Data Analytics Semi-Professional - ADsP

Nov 2021


✘ Completion of a Computer Science Course at a Private Academy

Aug 2021

Course Composed of Basic Programming, Computer Structure, Operating System, and System Programming

✘ Passed Certified Account Manager-CAM Exam basic Level

Sep 2020

K-IFRS Accounting Principles

✘ Chinese Proficiency Test New HSK Lv.5 247

Jan 2020

CEFR C1

✘ Chinese Proficiency Test New HSK Lv.4 249

May 2019

CEFR B2

◎ Leadership & Achievements


✘ Scholarship of Dean of Undergraduate School

Fall 2021 & Spring 2022

KyungHee University, Seoul, Korea
▹ Awarded for Superior Academic Achievement

✘ Military Service - Republic of Korea Air Force

Jun 2018 - May 2020

Gyeonggi-do, Republic of Korea
▹ Served as a Squad Leader, overseeing 30 personnel in the Militry Police