Daniel Yi
Greater Chicago Area,United States
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Daniel Yi is a distinguished AI Research Scientist and Engineering Lead with 12 years of experience specializing in Natural Language Processing (NLP) and Deep Learning. He is deeply passionate about building intelligent systems that can understand and interact with the world in more human-like ways. Daniel has a strong track record of leading innovative research projects from conception to deployment, resulting in impactful products and peer-reviewed publications. He excels at bridging the gap between theoretical research and practical application, fostering collaborative environments, and mentoring emerging talent in the AI field. His current focus areas include large language models (LLMs), explainable AI (XAI), and ethical AI development.
Professional Summary
Daniel Yi's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Lead AI Researcher on Project 'Lexicon'
Spearheaded a team of 10 researchers and engineers in the development of 'Project Lexicon,' a novel multilingual translation model that achieved state-of-the-art performance on several benchmark datasets and reduced translation errors by 30% for low-resource languages. The model is now integrated into a flagship communication product serving millions of users.
Published in NeurIPS and ICML
Authored and co-authored multiple influential papers accepted at top-tier AI conferences like NeurIPS and ICML, focusing on advancements in attention mechanisms and efficient training techniques for large neural networks. His work has been cited over 500 times.
Innovator Award for AI Ethics Framework
Received the internal 'Innovator Award' for developing and championing a comprehensive AI ethics framework that guides the responsible design, development, and deployment of AI systems within the organization, ensuring fairness, transparency, and accountability.
Patent for Novelty Detection Algorithm
Co-invented and patented a novel unsupervised algorithm for anomaly and novelty detection in high-dimensional time-series data, significantly improving fraud detection capabilities in financial systems.
Educational Background
Bachelor of Business Administration (B.B.A.)
Northern Illinois University - Year 2007
HS Diploma
Vernon Hills High School - Year 2003
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Company Overview
Creospan Inc.Creospan is an IT consulting and solutions provider specializing in digital transformation, cloud services (AWS, Azure, GCP), data analytics & AI, enterprise mobility, IoT, and application modernization. They partner with clients across various industries, including finance, healthcare, retail, and manufacturing, to deliver innovative technology solutions that drive business growth, operational efficiency, and enhanced customer experiences. Creospan emphasizes a client-centric approach, leveraging agile methodologies and a global delivery model.
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