I received the M.Sc. degree in 2021 from Yonsei University, Seoul, Korea. Currently interested in designing MLOps architecture with IaC especially AWS CDK.
My CV
#Multimodal Embedding#Fused Search
- Multimodal Search for Devsisters
- Developed a Multimodal Embedding Search for over 1 million in-house art assets.
- Supported full-text and vector fusion search to maximize search relevance for planners and artists.
- Implemented clustering functionality to intuitively group and display similar search results.
- Currently optimizing vector search algorithms to reduce latency and improve overall retrieval speed.
#AI Agent#Skills#Tools#SubAgents
- AI Agent for Art Generation
- Building an AI Agent designed to generate art assets strictly adhering to Devsisters' Cookie Run IP art style.
- Generating various in-game assets, including backgrounds, cookie characters, and Cookie Run: Kingdom decorations.
- Developing a conversational chat interface to provide a seamless and interactive UI/UX for internal users.
#Airflow#Triton#FastAPI#vLLM#MLOps#AI#VLM#SLM
- Synapsego: Automated Visual Synopsis Creation
- Audio transcription model serving with Ray Serve
- VLM multimodal inference serving and LLM/SLM serving with vllm + FastAPI
- Vision models serving with Triton BLS
- Pipelining with Airflow DAGs
#AWS#CDK#Serverless#IOS#AI#Agent
- shot up: AI assistant for screenshots
- App Store Link
- AWS architecture.
- Analyzing with AI Agent
- Semantic search.
- AWS CDK(IaC) for deploying AWS resources.
#AWS#CDK#Serverless#Event-driven#IOS#AR
- aug: spacial social
- App Store Link
- AWS serverless event-driven architecture.
- Video streaming & image content distribution.
- AWS CDK(IaC) for deploying AWS resources.
#AWS#CDK#MLOps#AI#CCTV
MLOps for AI Surveillance Camera
- Architecture Diagram
- Dataset pipeline using AWS Fathom(co-developing service with SKT)
- Design & implement train, inference, conversion, deploy pipeline
- Video streaming & image content delievery
- Semantic image search
- AWS CDK(IaC) for deploying AWS resources.
Radio tower anomaly detection with drone images
- Design serverless architecture for batch inference pipeline.
- AWS CDK(IaC) for deploying AWS resources.
#linux#libuv#C++#C##Unity
- LibuvGameServer
- On Ubuntu 18.04, using libuv for TCP connection.
- Based on libuv's event loop, Network IO is single threaded.
- [Bug] Segmentation Fault after continuous Disconnection and Connection.
- LibuvGameServerClients
- Dummy Client is based on C# .NET framework
- Client is based on Unity
- Demo avaiable here
#mediapipe#blazepose#Unity#3D#C##Android
- BlazePoseWithUnity
- Only has Demo and brief description of project due to confidential rights
#Face Recognition#Android#Firebase ML Kit#TensorFlow 2.0#TensorFlow Lite#Java#Python
- Face recognition training & testing framework implemented with TensorFlow 2, Keras
- Supported backbones: MobileNet, MobileNetV2, InceptionResNetV2, InceptionV3, ResNet50, ResNet50V2, ResNet101V2, MnasNetA1, MnasNetB1, MnaseNetSmall, NASNetLarge, NASNetMobile, Xception, MobileNetV3Large, MobileNetV3Small, EfficientNetLite0 ~ Lite6, EfficientNetB0 ~ B7
- Supported losses: ArcFace, CosFace
- Is runtime face identification on Android device. I used IJB-C dataset for testing labels.
- Is game applicaiton which utilize ML Kit for controlling the bird with rotating Face
#Gaze Tracking#Android#Firebase ML Kit#TensorFlow Lite#PerCom 2021#GAZEL#Java#Python
- Is a Personalized Runtime Mobile Gaze Tracker.
- This work is official implementation of GAZEL framework which is published in PerCom 2021(GAZEL: Runtime Gaze Tracking for Smartphones) .
- Is game application which utilize GAZEL for controlling the bird.
- Is gaze data collecting application for making gaze estimation model required for GAZEL.




