TAYLEE Info

Education

Yonsei University · Environmental & Mechanical engineering

2020 – 2022

Yonsei Univ. — Mechanical Engineering (Master's)

M.S. in Mechanical Engineering.
Thesis — Turbulence control through deep reinforcement learning.

2018 – 2020

Yonsei Univ. — Mechanical Engineering (Bachelor's)

B.S. in Mechanical Engineering. Bachelor in Environmental Engineering (transition from completion to graduation).

2012 – 2018

Yonsei Univ. — Environmental Engineering (Bachelor's)

Completion of Bachelor in Environmental Engineering.

2014 – 2016

Military service — KATUSA

Korean Augmentation To the United States Army.

School activities — see details →

Careers

Backend & platform engineering in industry — KT DS · SK Inc. AX.

SK Inc. AX (C&C) from 2024-01-01 · present

Software Engineer & Manager

Manufacturing Platform Dev Team (2024–2025) → AI Innovation Lab (2026–present)

AI Readable Data Platform (ARDP) ongoing Ontology/VKG platform; application architect (cross-module flow · Ontop·Trino · AWS) + NL→SPARQL inference.
SKO IT-VoC Deployment Platform completed Unified VoC & deployment governance across overseas subsidiaries.
Data Analysis Engine (manufacturing quality) completed Abstracts multiple formats (CSV / JSON / DB) into one statistics pipeline.
Reinforced Security Agent (AI) PoC AI agent proof-of-concept for reinforced security.
Public Cloud (AWS) Infrastructure Cloud infrastructure & common authentication module across services.

KT DataSystems 2022-01-10 – 2023-12-29

Back-end Server Engineer

Development of API Gateway solution completed Built a reactive API Gateway (Spring Cloud Gateway · WebFlux/Netty) for cloud services — dynamic routing, custom auth/logging filters, and throughput tuning.
Management of Redis (open-source) completed Operated the open-source Redis cache on the cloud platform — clustering, configuration, and performance management.

Tech stack

Programming languages, frameworks & tools I work with.

Languages

Java

Python

JavaScript

C

R

Frameworks

Spring Boot

Spring WebFlux

FastAPI

TensorFlow

LangGraph

Databases & ORM

PostgreSQL MariaDB Oracle MongoDB JPA R2DBC Reactive MongoDB

Infra & Cloud

AWS Linux Nginx On-premise

github.com/TAEHYUKLEE ↗

Skills

Domains I've worked in, from research to production.

Data analysis

Basic statistics (correlation, R², skewness), model selection via linear regression (variable selection), imputation for missing values.

Machine learning

Reinforcement learning (control, time forecasting) and supervised learning (time forecasting).

Numerical simulation (CFD)

Finite Difference method (cavity lid-driven), spectral method (Burgers equation, channel flow).

Server engineering & Back-end

Monitoring systems (API gateway, etc.), data collection & aggregation systems, server configuration (Web server, WAS, middleware).

Cloud & Infrastructure

AWS public-cloud architecture (VPC, public / private subnets, IGW, NAT Gateway · Instance) and self-hosted Linux servers — Nginx, NAT gateway, auto-renewing HTTPS (Let's Encrypt).

INTERESTS

Fluid mechanics Machine learning & Mathematics Data analysis (statistics) Environmental issues Information technologies Algorithm