01
SignalCraft
OTT Churn Prevention Data Platform
Azure Event Hubs · Databricks · DLT · PySpark · XGBoost
User behavior data pipeline
Medallion Architecture & churn-risk segmentation
김시영|Data Engineer·Data Analyst
Building scalable data pipelines
and turning data into actionable insights.
Azure ·Databricks ·Spark ·SQL ·Python
View Projects↘SELECTED PROJECTS
02
Facflexity
Predictive Maintenance Pipeline
Databricks · Spark · PyTorch
30s → 90s Inference Cycle
Estimated 67% Fewer Monthly Inference Calls
03
Antic Signal
Real-time Stock Data Platform
Azure Event Hubs · Functions · Redis
Real-time stock data ingestion
Redis caching for fast data retrieval
04
DressMyFit
Generative AI Virtual Fitting
FastAPI · SAM · OpenCV · CatVTON
40 Body-type Avatars
Automated Garment Mask Generation
05
LEO Satellite
RL Ground Station Optimization
Reinforcement Learning · Orbital Simulation
TLE-based orbital simulation
DQN-based ground station selection
ABOUT
I build scalable data systems and
turn complex data into actionable insights.
My experience spans Azure-based data pipelines, Databricks and Spark, SQL-based data analytics, real-time event processing, and machine learning.
I enjoy turning complex data and technical requirements into reliable, scalable solutions.
I also enjoy connecting data systems with analytics to solve practical business and product problems.
FOCUS
Data Engineering · Data Analytics · Cloud · AI
BASED IN
Seoul, South Korea
EXPERIENCE
2025.09 — 2026.02
Microsoft Data School
K-Digital Training · Data Engineering & AI
Built Azure and Databricks-based data pipelines using Event Hubs, DLT, Spark, and Delta Lake.
Worked on data platform, predictive maintenance, and machine learning projects.
2024.10 — 2025.02
Distributed Platforms & Systems Laboratory
Undergraduate Researcher
Conducted reinforcement learning research for energy-efficient LEO satellite ground station selection.
Researched QCNN-based road damage detection and presented research at the KICS Winter Conference.
2024.03 — 2024.10
Planningo Inc.
AI Research Intern
Researched generative AI and computer vision approaches for image synthesis and object compositing.
Defined research directions, planned experiments, and presented findings throughout the project.
SKILLS
CLOUD
Microsoft Azure
Azure Functions
Azure Event Hubs
Azure Cache for Redis
DATA ENGINEERING
Databricks
Apache Spark
Delta Lake
Medallion Architecture
ETL Pipeline
DATA ANALYTICS
SQL
Power BI
Looker Studio
AI / ML
PyTorch
Machine Learning · Deep Learning
Reinforcement Learning
Diffusion Model
CNN · LSTM · AutoML
DEVELOPMENT
Python
FastAPI
OpenCV