Marketing AX Workspace
with - 강민구
- 계상우
- 김은정
- 김태욱
- 박승렬
- 송의석
- 오종해
- 유성현
- 이재환
SK Telecom colleagues A conversational workspace for accessing business data and services through natural-language requests.
- Problem
- Help marketing teams use business data and tools through a conversational interface.
- My role
- Service planning, backend architecture, and backend development.
- Challenge
- Support varied user requests across existing data and service interfaces.
- Approach
- Planned the workspace experience and designed and implemented the backend for its service flows.
Polaris Studio
with - 계상우
- 김은정
- 김태욱
- 박승렬
- 송의석
- 오종해
- 유성현
SK Telecom colleagues A no-code AI workflow service for working with internal data and automating repetitive tasks.
- Problem
- Make customer data and AI workflows accessible to teams without requiring them to write code.
- My role
- Service planning, backend architecture, and backend development.
- Challenge
- Workflows need to accommodate different departmental data sources and services.
- Approach
- Planned the service workflows and designed and implemented the backend supporting them.
SmartBee
with SK Telecom colleagues A RAG chatbot service with an embeddable widget that lets teams add document-based Q&A to existing websites.
- Problem
- Make document-based answers available inside the services people already use.
- My role
- AI and backend engineering for SmartBee.
- Challenge
- Support retrieval-based answers through an interface that is easy to install and use.
- Approach
- Connected the chatbot’s AI and backend capabilities to an embeddable widget experience.
상담 검색 서비스 (Customer conversation insights)
with SK Telecom colleagues Backend engineering for SK Telecom’s AI-based customer conversation search service.
- Problem
- Find useful signals in unstructured customer conversations.
- My role
- Backend engineering for the customer conversation search service.
- Challenge
- Make conversations with different topics searchable for business questions.
- Approach
- Built the backend supporting AI-assisted conversation search and analysis.
SK AI Summit 2024 · Talk & recording
REVIEWRO
Product discovery and review explorationBackend development for REVIEWRO, a review-based fashion commerce app. The service closed in February 2023.
- Problem
- Help shoppers discover fashion products through reviews.
- My role
- Backend development and operation for the REVIEWRO app.
- Challenge
- Support review-based discovery alongside commerce workflows.
- Approach
- Built the backend connecting product and review data with the app’s commerce features.
Review topic analytics
Storefront review widgetReview topic classification for e-commerce at 빌리뷰.
- Problem
- Help shoppers find relevant information in reviews that cover several topics.
- My role
- Led review-data pipelines, service APIs, and administration tools as co-founder and CTO.
- Challenge
- Handle informal review language and multiple topics within a single review.
- Approach
- Combined review collection and preprocessing with topic analysis and a storefront review widget.
AIAS: network quality analytics
with SK Telecom colleagues Backend development for AIAS, a map-based telecom network quality service.
- Problem
- Help network teams examine service quality in its location context.
- My role
- Data science and backend development for AIAS.
- Challenge
- Make network-quality and location data usable in a map-based service.
- Approach
- Built analytics data marts and backend APIs for exploring network quality.
Personalized targeting
with SK Telecom colleagues Data modeling and backend development for personalized targeting at SK Telecom.
- Problem
- Turn customer data into usable inputs for personalized marketing.
- My role
- Feature engineering, data modeling, and targeting backend development.
- Challenge
- Connect analytical customer profiles with operational marketing services.
- Approach
- Developed customer feature matrices and a targeting backend used for Biz-RCS.