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禁止且拒絕未經各資訊當事人同意,擅自蒐集本服務提供的使用者個人資訊資料等資料之行為。即使是公開資料,若未經許可使用爬蟲等技術裝置進行蒐集,依個人資訊保護法可能會受到刑事處分,特此告知。
© 2025 Rocketpunch, 주식회사 더블에이스, 김인기, 大韓民國首爾特別市城東區聖水一路10街 12, 12樓 1號, 04793, support@rocketpunch.com, +82 10-2710-7121
統一編號 206-87-09615
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職涯
貼文
AI 職涯摘要
김수정님은 스캐터랩에서 ML data strategist | Unit Lead로서 챗봇의 파인튜닝 데이터셋 품질 향상을 통해 2백만 사용자 확보 및 18%의 유지율 달성에 기여했습니다. 또한, LLM FT 기법 연구 및 SFT, RLHF 학습 데이터 스키마 설계, '재생성' 기능 제안으로 월 550만원 상당의 데이터를 창출하는 등 머신러닝 데이터 전략 및 품질 관리 전반에 걸쳐 전문성을 보여주었습니다. 이전 셀렉트스타 주식회사에서는 Senior PM으로 AI 컨설팅 및 데이터 구축을 통해 11억원의 매출을 달성하고, 주니어 PM 팀을 관리하며 프로젝트 성공률을 높였습니다.
經歷
• as a leader of the ML strategy unit consisting of ML product strategists, ML data strategists, labeling managers, and labeler educators, clarified each position’s R&R and developed the overall work pipeline. • enhanced fine-tuning dataset quality for the chatbot, achieving a milestone of 2 million users along with 18% of retention rate. • made a new persona chatbot from a to z, reaching 50,000 DAUs in CIC project. • conducted in-depth research on the diverse LLM FT techniques and designed training data schema for SFT, Instruction FT and RLHF through intensive discussion with ML researchers. • proposed a ‘regeneration’ feature of a chatbot by implementing qualitative and quantitative data segment analysis using Python, generating data worth ₩5.5M every month. • organized and trained a labeling team consisting of 2 labeling managers, 5 educators and 40+ freelancers for labeling tasks. • optimized the pipeline from data construction to quality check system, which reducted labeling time by 45%.
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• led 9 projects by providing in-depth AI consulting and constructing high-quality data for clients such as Samsung and SKT, generating a total revenue of ₩1.1B. • managed and motivated a team of 4 junior PMs, handling 12 projects and 200+ labelers at a time. • created one-page analysis for the sales team evaluating new contract terms such as pricing and schedule based on accumulated project experiences, reducing renegotiation rate from 30% to 10%. • provided regular NLP labeling seminars for freelancer labelers, which resulted in an unprecedent data accuracy of 76.29% on NLI task in KLUE benchmark compared to Stanford average of 58.3%. • conducted an analysis of the correlation between a labeler’s submission time and accuracy using SQL, which became a starting point for limiting work submissions per a time period within the platform.
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• cold-called 50+ potential clients on a daily basis, with a closing rate of 10% to 25%. • proposed and located new potential business partnerships (B2G) by contacting government institutions and attending networking events, which resulted in 27 new strategic partnerships. • hit and exceeded sales KPIs by 30% for the months of June and July by implementing action items to achieve daily goals.
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學歷
• Relevant Courses: Management tools, Global marketing, Advanced English business conversation and negotiation • Bachelor Dissertation, “Application of Stakeholder management in Internet of Things (IoT) Industry”
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活動
最近活動
獲獎 2
證照 2
專案 1
자격증
[OPIc] AL
2020년 3월
프로젝트
전략경영학회 산업보고서
2018년 8월 - 2019년 5월 · 10개월
Strategic Management and Analysis Association / Analyst • Researched and published business reports on Block chain in Fin-tech industry for reinforcing understanding of new business trends. • Drew up investment reports through in-depth analysis on business model and finance situation of the company.
수상
정시우수장학
경희대학교 · 2019년 3월
성적 우수 장학
자격증
[Mos Excel] Expert
2019년 3월
수상
글로벌인재양성장학
수도권대학국제화특성화사업단 · 2015년 3월
성적 우수 장학
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고급 (자유로운 의사소통)
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