David Bean Email & Phone Number
@utah.edu
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Who is David Bean? Overview
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David Bean is listed as Startup CTO at CareCrew, based in Salt Lake City Metropolitan Area, United States. AeroLeads shows a work email signal at utah.edu and a matched LinkedIn profile for David Bean.
David Bean previously worked as CTO, Founder at Carecrew and Industrial Adjunct Professor, School of Computing at University Of Utah. David Bean holds Phd, Computer Science from University Of Utah.
Email format at CareCrew
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AeroLeads found 1 current-domain work email signal for David Bean. Compare company email patterns before reaching out.
About David Bean
Experienced company and technology leader who thrives in early stage startups where hands-on development, product management, and strategic thinking come together. Equally comfortable discussing a machine learning algorithm, presenting a roadmap to a board of directors, or coaching a young engineer on professionalism. Successfully founded and, lead as CTO, a company based on my PhD work whose products became adopted by all major U.S. intelligence agencies, Apple, Southwest Airlines, Whirlpool, and John Deere. Built machine learning and data science organizations for companies in Oil & Gas and Finance industries. Architected and moved entire software platforms to the cloud environment in multiple roles to save costs and improve reliability. I build teams and lead them to address big problems with creative solutions. I still love writing code too.❋ Industries: Fintech, Oil & Gas, Education, Insurance, Healthcare, Retail.❋ Technologies: Web Application Development, Cloud Architectures, Natural Language Processing, Machine Learning, Image Analysis, Data Science, Data Analytics.❋ Managerial Skills: Coaching, Agile Methodologies, Team Building, Organizational Development, Project Management.❋ Entrepreneurial Skills: Fundraising (angels to series), Culture Building, Board-level Engagement, Application Development, High Level Sales, Teaching, Public Speaking, Data Strategy, Early Stage Development and Launch, Product Management.❋ Languages & Frameworks: C++, Ruby, Javascript, Python, RubyOnRails, Vue, Vuetify, Amazon Web Services (AWS), SQL, Embedded Development, CI/CD.
Listed skills include Text Analytics, Machine Learning, Business Intelligence, Analytics, and 51 others.
David Bean's current company
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David Bean work experience
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Industrial Adjunct Professor, School Of Computing
CurrentCurrently:* Advising Senior Capstone CS CoursePreviously:* Applied web application development.* RubyOnRails, object-relational mapping engines, javascript, bootstrap.* Web components and architecture, esp. Amazon Web Services
Director Of Engineering
* Built Windows Desktop development team, growing it globally 6x in 10 months.* Managed Windows development to reach parity with the Mac client while implementing significant additional functionality.* Strong contributor to company cultural discussions, technical strategy, mentoring, interviewing.* Sales & Customer Service support including direct-with-user support investigations.* High level enterprise sales support.* Direct efforts on image segmentation, object identification, ML engineering for performance in native desktop and web apps.
Chief Technology Officer
* Responsible for all engineering tasks* Grew initial team, built initial prototype, drove MVP development to initial release, followed by scaling to support customers in multiple states with multiple vendors and products* Web-based application and mobile development* Architected AWS-based auto-scaling, security, failover protection, user authentication, data storage.
Head Of Technology
Director Of Data Science And Research
* Establish and drive the strategy around machine learning and data analysis.* Build a machine learning team within the PayClip engineering organization.* Develop and deliver state-of-the-art data-driven systems to increase PayClip's business value.
Chief Technology Officer
* Built and managed multidisciplinary engineering team to develop SaaS application with web, iOS, Android, and API-based clients.* Introduced Agile methodologies to all aspects of technical development and product management.* Architected transactional and analytic data backends to operate at web scale.
Director Of Data Architecture And Software Solutions + Global Director Of Data Analysis
* Directed the Software Department which is tasked with building a suite of enterprise and scientific computing applications in support of the Inline Inspection (ILI) division of TDW. These applications range from business intelligence tools to applications that visualize and measure features within massive amounts of sensor data collected by ILI tools. * Managed a machine learning/classification effort to automatically detect and characterize such features. * Responsible for rearchitecting the overall computing structure of the ILI Division which includes adoption of cloud computing, integration of enterprise software applications, and an environment that supports global distribution of data, computing, and people. The scope of this effort included scientific computing, business support systems, data warehousing, and business intelligence/analytics.
Chief Technology Officer, Founder
Built and managed the core team that designed, coded and maintained the NLP engine, the application team that built applications on top of that engine, and the tools team that focused on developing knowledge engineering tools. Pioneered information extraction that requires no predefinition and built products that convert massive quantities of text into the rows and columns of standard relational databases where they could be analyzed by business intelligence tools like BusinessObjects, SAS, and SPSS. Developed the first thematic role parser -- a system that identifies who did what to whom, when, where, etc., regardless of how those roles are expressed grammatically -- that convinced In-Q-Tel (the venture capital arm of the Central Intelligence Agency) to lead Attensity’s first round of funding eight months after 9/11. Developed Attensity’s first use of cloud computing to replace an in-house data center. When the level of professional services necessary to implement Attensity software became a concern to some customers, I prototyped an advanced text analytics application to prove that it was possible to deliver a pure SaaS-based voice-of-the-customer solution that required no professional services for implementation, something that was unheard of at the time.Raised four rounds of funding during particularly difficult times for financing. Successfully transferred intellectual property ownership or use rights from the University of Utah to Attensity via the Technology Commercialization Office (TCO). Directed both Attensity and University legal counsels in writing and filing US patent applications, followed up with rebutting examiners‘ comments for a 100% success rate in applications-to-grants. I also spent significant effort and time in creating and maintaining our corporate culture.
David Bean education
Phd, Computer Science
Ms, Management Information Systems
Ba, French, Arabic
Frequently asked questions about David Bean
Quick answers generated from the profile data available on this page.
What company does David Bean work for?
David Bean works for CareCrew.
What is David Bean's role at CareCrew?
David Bean is listed as Startup CTO at CareCrew.
What is David Bean's email address?
AeroLeads has found 1 work email signal at @utah.edu for David Bean at CareCrew.
Where is David Bean based?
David Bean is based in Salt Lake City Metropolitan Area, United States while working with CareCrew.
What companies has David Bean worked for?
David Bean has worked for Carecrew, University Of Utah, Mmhmm, Salty., and Payclip Inc..
How can I contact David Bean?
You can use AeroLeads to view verified contact signals for David Bean at CareCrew, including work email, phone, and LinkedIn data when available.
What schools did David Bean attend?
David Bean holds Phd, Computer Science from University Of Utah.
What skills is David Bean known for?
David Bean is listed with skills including Text Analytics, Machine Learning, Business Intelligence, Analytics, Cloud Computing, Start Ups, Databases, and Natural Language Processing.
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