Juhyeong Kim Email & Phone Number

Seoul, South Korea

- Works at AI R&D Team, AI Division, AI Unit.- Obtained Ceritified Investment Manager certification from Korea Financial Investment Association. (March 2024)- Passed Financial Risk Manager (FRM) - part 1 exam (September 2024)Main responsibilities- Research on portfolio management using Mamba model with Deep Ensemble technique.- Developing market-preceding.

Seoul, South Korea

- Works at AI R&D Team, AI Division, AI Unit.- Experimented Deep Learning Time Series models to asset data to estimate quantiles of future forecasts.- Experimented Deep Probabilistic Time Series Models to asset data to estimate predictive distribution.- Calculated VaR and Expected Shortfall with Deep Probabilistic Time Series Models' prediction.- Estimated.

Seoul, South Korea

- Worked on Text Classification and Quantization project.- Designed domain-specific text preprocessing scheme.- Made a classification baseline for speech intention classification of Korean STT data. (73% Acc)- Experimented methods to mitigate Imbalanced Class, Label Noise and Open Set Learning problems.- Accelerated the inference with Quantization by.

Daejeon, South Korea

- Worked at AI Research and Development Division, Republic of Korea Army Training and Doctrine Command.- Worked on Proof-of-Concepts of the AI applications to the military.- Challenged by limited compute resources and strict security rules.- Built and maintained AWS hosting server systems to utilize remote GPU compute servers. (Docker)- Managed a speech.

Seoul, South Korea

- Participated research project ‘Physics-informed study and application of Artificial Intelligence’- Implemented proposed optimization algorithm related to Langevin dynamics. (TensorFlow)- Experimented on Image classification benchmarks.- Experimented the effect to Ensemble Method.

Seoul, South Korea

- Enhanced privacy in chatbot service (NLP, dialogue generation) (Huggingface, SpaCy, Docker)- Trained NLP models to detect personal information in the generated text.- Removed or transformed sensitive information to anonymize the generated text.- Deployed the model to real service and documented the project for the maintenance.- Completed MLOps Coursera.

Seoul, South Korea

- Trained video detection model (R-CNN and Faster R-CNN) for real-time human detection system.- Optimized the model with Quantization techniques.- Independent study on VAE, Gaussian Process, Bayesian Neural Networks variants (Pytorch)

Seoul, South Korea

- Participated in research project related to Business Intelligence- Collected and refined data from web to utilize formal data for the data analysis project.

Master Of Science, Computer Science, 3.875 / 4.0

Transferred from KAIST and Georgia Tech. Attended 3 semesters and 1 summer semester. - Machine Leaning (A, Fall 2022) - Optimization (A.

Master Of Science, Computer Science, 3.0 / 4.0

Transferred from KAIST. Attended 1 semester. - Graduate Introduction to Operating Systems (B, Spring 2022) - Reinforcement Learning and.

Master Of Science, Artificial Intelligence

Attended 1 semester. - Bayesian Machine Learning (A, Fall 2020) - Programming for Artificial Intelligence (S (Pass), Fall 2020)

Bachelor’S Degree, Business Administration & Computer Science And Engineering & Statistics, 4.09 / 4.5

169 credits / 9 sememster - Business Administration (3.96/4.5, 42 credits) - Computer Science and Engineering (4.18/4.5, 48 credits).

High School Diploma, Multimedia

- IT specialized high school - Learned some basic programming (C, Web)