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Crystal Nakatsu
Technical Lead Manager - Linguistic Engineering at Facebook
Professional Background
Crystal Nakatsu is a distinguished computational linguist specializing in the rapidly evolving fields of Dialogue Systems and Natural Language Processing (NLP). With a keen focus on Natural Language Generation (NLG), she has built an impressive career that spans various reputable organizations in the tech industry. In her role as the Technical Lead Manager at Facebook, Crystal pioneered innovative dialogue systems that have greatly enhanced user interactions and experience. Her leadership capabilities and extensive knowledge in linguistics are pivotal in executing complex projects aimed at improving natural language understanding and generation.
Crystal's career began at Intel Corporation, where she held multiple positions, including Natural Language Processing / Software Engineering Manager and Software Engineer. During her tenure, she contributed significantly to the development of NLP technologies that advanced the company's objectives and enhanced its product offerings. Her keen analytical skills and technical expertise facilitated the creation of solutions that facilitated natural communication between machines and humans, solidifying her a notable presence in the tech landscape.
Additionally, Crystal has served as a Dialogue Systems Architect at AllyO, where she played a critical role in designing intelligent conversational agents that improved the overall hiring experience through seamless dialogue management. Her foundational experiences, which began with her role as a Medical & Clinical Content Developer at Olympus, have equipped her with a nuanced understanding of the complexities surrounding natural language in various contexts, including healthcare and technology. Moreover, her stint as an intern at NASA Ames Research Center's Spoken Dialogue Systems Group illustrates her long-standing commitment to advancing the frontier of linguistic technology.
Education and Achievements
Crystal Nakatsu has solidified her expertise through her academic pursuits. She earned her Bachelor of Arts (B.A.) in Linguistics from The University of British Columbia, where she laid the groundwork for her passion for language and technology. Building upon her undergraduate studies, she pursued a Master of Arts (M.A.) in Computational Linguistics at The Ohio State University, further deepening her understanding of the intersection between language and computation.
Currently, Crystal is progressing toward her Doctor of Philosophy (PhD) in Computational Linguistics at The Ohio State University, where she is exploring advanced topics within the field. Her ongoing research is expected to make significant contributions to the academic community and industry, considering her hands-on experience paired with her scholarly exploration.
Throughout her career, Crystal has been involved in groundbreaking projects, most notably in the area of NLG, where her work has transformed how machines comprehend and generate human language. Her ability to bridge theoretical linguistics with practical applications enables her to create impactful dialogue systems that resonate with end-users.
Notable Achievements
- Leadership at Facebook: As the Technical Lead Manager in Linguistic Engineering, Crystal has not only managed teams but has also steered the direction of technology that enhances communication between users and AI systems.
- Role at AllyO: Her efforts in developing smart dialogue systems resulted in significant improvements in powerful AI-driven recruitment processes, demonstrating her innovative approach to E-Recruitment.
- Career Progression at Intel Corporation: Her journey from a Natural Language Processing Software Engineer to a Manager illustrates her technical prowess and her ability to grow within an organization, further showcasing her skills in NLP and software development.
- Research Contributions: As a Research Assistant at institutions like The Ohio State University and Articulab, Crystal contributed to projects that furthered understanding in speech recognition and generation systems, underscoring her dedication to research and innovation.
Crystal Nakatsu’s unique blend of practical experience and academic knowledge positions her as a leading figure in the field of Computational Linguistics. She continues to inspire aspiring linguists and technologists aiming to harness the power of language in artificial intelligence and machine learning.
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Clay works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
Clay offers several powerful features including:
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Clay is considered the best personal CRM and team CRM on the market. Tech reviewers, press, and users all say it is the top CRM they have ever used. Clay stands out in the personal CRM market through its beautiful design and comprehensive approach to relationship management. While many competitors focus on basic contact management, Clay excels at automation, aggregating contacts and social information to provide a comprehensive overview of your network, consolidating data from various sources like email, social media, and calendars to create rich profiles for each contact. Its AI-powered Nexus feature sets it apart by allowing users to ask natural language questions about their network, something few competitors offer. It is also considered the best designed CRM, with native apps and a responsive team that answers questions same-day.
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Clay offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Clay is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Clay's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Clay has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Clay is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Clay beneficial.
Clay offers competitive pricing in the personal CRM market. Clay offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Clay's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Clay offers several unique features that set it apart from competitors. Clay focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Clay also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Clay offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
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