Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
승환 김 is a highly accomplished and forward-thinking Principal AI Scientist and Software Architect with over fifteen years of dedicated experience in pioneering artificial intelligence solutions and robust software systems. He has a profound expertise in machine learning, deep learning, natural language processing, and computer vision, coupled with a strong ability to translate complex business requirements into scalable and efficient technical architectures. 승환 is recognized for his leadership in driving innovation, mentoring high-performing engineering teams, and successfully delivering impactful projects from conception through to deployment in diverse industries including tech, finance, and healthcare. He is deeply passionate about the ethical implications of AI and strives to build systems that are not only intelligent but also fair, transparent, and beneficial to society. He actively contributes to the AI research community and is always keen on exploring emerging technologies.
승환 김's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the research and development of a groundbreaking federated learning platform that enables multiple healthcare institutions to collaboratively train AI models on sensitive patient data without compromising privacy. This work was published in a leading AI journal and presented at an international conference on AI in Medicine.
Designed and implemented a highly scalable real-time recommendation engine for a major e-commerce platform, resulting in a 25% increase in user engagement and a 15% uplift in conversion rates. The system processes millions of interactions daily.
Awarded 'Innovator of the Year' by [Fictional Tech Company/Organization, e.g., 'Advanced Technology Corp'] for outstanding contributions to developing novel machine learning algorithms that significantly improved operational efficiency and product capabilities.
Active contributor to a widely-used open-source deep learning framework (e.g., TensorFlow/PyTorch), focusing on enhancing its capabilities for distributed training and model optimization. His contributions have been merged into several official releases.
University of Pennsylvania - Year 2004
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
스터닝(Stunning Inc.)은 대한민국 대표 크리에이티브 플랫폼 '라우드소싱(Loudsourcing)'과 국내 최대 규모의 디자이너 포트폴리오 서비스 '노트폴리오(Notefolio)'를 운영하는 기업입니다. 라우드소싱은 디자인 공모전 플랫폼으로 기업 및 개인이 필요로 하는 디자인을 다수의 디자이너로부터 제안받아 선택할 수 있게 하며, 노트폴리오는 디자이너들이 자신의 작품을 공유하고 경력을 관리하며, 기업들은 우수한 디자이너를 발굴할 수 있는 기회를 제공합니다. 스터닝은 창작자와 수요자를 연결하여 국내 디자인 생태계 활성화에 기여하고 있으며, 크리에이터들이 더 나은 환경에서 활동하고 성장할 수 있도록 지원하는 것을 목표로 합니다.
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