전민제

Ideated, prototyped, stealth-tested, data-validated, and reported over 50 AI-driven new business concepts to executives.

Collected quantitative and qualitative data through stealth user testing of prototype services.

Designed key metrics, implemented logging, and developed dashboards to analyze service performance and drive continuous improvement, informing go/no-go decisions for projects.

Led the refinement of business ideas through planning and operating AI R&D initiatives.

Managed hiring processes aligned with business direction. Created competency models and interview question guides for informal chats (tea time) and formal interviews.

Designed company-wide, team-specific, and individual metrics in collaboration with business units and executives. Developed and disseminated dashboards for work monitoring and feedback.

Established work pipelines, data platforms, and business processes for handling company-wide data requests.

Supported relevant departments (Development, Business, Marketing, IP Production, Operations) with various data analyses to resolve issues.

Enhanced data literacy among staff through weekly company-wide data sessions (covering work challenges, metric achievement mentoring, data tool training, etc.).

Led AI new business research and projects, including team formation, prototyping, metric design, data validation, and media advertising execution.

Led UX research. Designed and educated on UX research methodologies for new service PMF (Product-Market Fit) validation and MVP design. Designed and conducted core user interviews.

Developed competency models for hiring, created Job Descriptions (JDs), defined hiring processes, wrote interview guides, and provided training.

Supported decision-making for Business, Operations, Design, and Development teams by designing metrics, logs, and data structures for a global app with 270k DAU.

Designed and developed a Lambda Architecture for handling real-time/batch data. Developed processes using AWS to collect, refine, and visualize service logs in real-time and batch modes.

Enabled real-time monitoring of statistical and business metrics through dashboard development. Installed internal dashboards.

Led the end-to-end (A-Z) development of a service recommending biomimicry ideas by collecting and analyzing tens of millions of NLP-related papers and patents. Designed, developed, and operated the global ML search service.

Developed BERT-based search/recommendation services. Designed and operated the entire system architecture on AWS. Built and operated CPU-based ML model serving infrastructure, achieving 200x cost reduction compared to GPU.

Conducted various projects and provided technical consulting for domestic and international military organizations, research institutes, universities, government agencies, and corporations.

Designed service user action logs, developed data pipelines, built dashboards, and monitored user responses to new features for service improvement.

Collaborated with frontend/backend developers, UX researchers, designers, and consultants to design and lead the service roadmap and development prioritization.

Designed custom UI/UX to facilitate interdisciplinary idea searching within the service; filed related patents.

Improved service features using qualitative data obtained through UX research. Established internal UX research methodology guides (usability testing, focus groups, surveys, card sorting, etc.).

Collaborated on projects with domestic media companies as part of a team comprising journalists, designers, video producers, and developers.

Developed data journalism content by collecting quantitative and qualitative data from target audiences.

Conducted research on cities and cancer in collaboration with Seoul National University Hospital, Art Center Nabi, and Seoul Women's University B-MADE Center.

Responsible for collecting and analyzing data and papers on cities and cancer, and transforming them into visual and auditory representations (visualization and sonification).

Participated in global hackathons based on the research content.

Exhibited the work 《NeoPlasia : city and cancer》 at the exhibition 《neotopia data and humanity》 held at Art Center Nabi's Tajakmadang.

Created and presented a Data Visualization/Sonification work analyzing 30 years of building data for Seoul's 25 districts.

Supported decision-making for domestic and international business units by extracting and analyzing data for ‘Lineage Red Knights’, ‘Final Blade’, and ‘H2’.

Collected user feedback on service updates by crawling user community data; reported findings weekly to leads via data reports.

Developed and internally exhibited visualization models for analyzing user content consumption processes.

Improved development efficiency by collecting, analyzing, and labeling chat data for AI BJ (Broadcasting Jockey) development, including developing and operating a management page.

Supported business decision-making for relevant departments and executives through analysis of large-scale real-time and batch data (Hadoop, Elasticsearch).

Increased efficiency of user trend and service monitoring by designing and developing various service metrics.

Achieved clean chat goals by developing profanity and advertisement detection modules for the monitoring team's moderation efforts, and developing a monitoring page.

Improved internal work efficiency by developing various data visualization pages.