Ryan Gross

Ryan Gross

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Head of Anthropic Engineering
Pennsylvania, United States

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Résumé


Jobs verified_user 0% verified
  • Caylent
    Head of Anthropic Engineering
    Caylent
    Apr 2026 - Current (7 months)
    Leading engineering within Caylent's business unit that focuses on defining the next generation of Software Engineering and bringing the Agentic AI revolution to customers in close partnership with Anthropic. Running the team as an internal startup building with AI-native building blocks.
  • Caylent
    Head of Data & Applications
    Caylent
    Feb 2024 - Apr 2026 (2 years 3 months)
    Fueling Cloud Native using Data & Generative AI backed products.
  • Credera
    Partner, Data Practice
    Credera
    Jun 2021 - Feb 2024 (2 years 9 months)
    As a Partner at Credera, I focus on growing the firm’s Data, AI, and Emerging Technology capabilities.

    Credera is a consulting firm focused on strategy, transformation, data, and technology with approximately 4500 consultants around the globe who daily live out our mission to make an extraordinary impact on our clients, people, and communities
  • Pariveda Solutions
    Vice President, Emerging Technology
    Pariveda Solutions
    Apr 2019 - Jun 2021 (2 years 3 months)
    Client Projects have included:
    ● Lead Data Strategist for an online education company developing and executing on a DataOps driven data strategy, working with a combined team of over 40 to realize the vision
    ● AI Architect for a global insurance provider looking to enter a new business line by automating undifferentiated portions of the underwriting process via AI
    ● SME for a heavy equipment manufacturer looking to enable global-scale IoT data science on the DataBricks platform

    Additional responsibilities include:
    ● Leading the development and execution of Pariveda's go-to-market strategy around Data & AI
    ● Leading a team to provide planning guidance to the firm on emerging technologies (Blockchain, A
  • Pariveda Solutions
    Principal Consultant
    Pariveda Solutions
    Jan 2016 - Mar 2019 (3 years 3 months)
    Client Projects have included:
    ● Architecture and Project Management for a team of 9-16 developing a cloud-native IOT data ingestion, processing, and delivery platform in AWS for a major heavy equipment manufacturer
    ● Architecture and Delivery Support for a team of 5-10 developing an enterprise wide Data Lake Platform for a major heavy equipment manufacturer
    ● Architecture and Delivery Support for a team building a Connected Vehicles data platform
    ● Delivery oversight for Machine Learning based solution development across 8 different industries: Manufacturing, Consumer Products, Healthcare, Logistics, Engineering & Construction, and Medical Products

    Other responsibilities:
    ● Participation on the Chicago
  • Pariveda Solutions
    Manager
    Pariveda Solutions
    Jan 2013 - Dec 2015 (3 years)
    Client projects have included:
    ● Architecture & Program Management for a team of 16 developing a SAAS web portal in the Fleet Management industry
    ● Architecture & Agile Project Management of a team of 6 developing web/tablet app for healthcare industry quality control
    ● Design & Development of a highly-customized Federated Authentication provider built on Windows Identity Foundation and Azure ACS and used by mobile, browser-based, and consumer electronics clients
    ● Design and development of a template application and script that built 200+ Windows Phone 7/8 e-book applications that are in the Windows Phone Store
    ● Performance debugging of a major e-commer
  • Pariveda Solutions
    Associate
    Pariveda Solutions
    Jun 2011 - Dec 2012 (1 year 7 months)
    Client projects have included:
    ● Designed and built a Windows 8 Business Intelligence app.
    ● Built a consumer instant price quote tool for a retail energy provider.
    ● Helped to create the API platform for a major Chicago area entertainment industry company using .NET WCF REST services.
  • GE HealthCare
    Software Technology Program Engineer
    GE HealthCare
    Jul 2008 - Jun 2011 (3 years)
    3 year rotational program at GE HCIT, the world's largest healthcare software vendor with 5000+ employees and over $1B in revenue, while completing masters degree. Highlights include
    1. Re-implemented message handling w/ a Camel/Spring/JPA stack to enable deployment in an OSGi environment.
    2. Integrated new rendering engine into HCIT's flagship radiology workstation (~1M Java LOC, > 1000 major hospitals globally) to enable seamless 3D reading; resulted in 1 patent pending. Won award for best HCIT product demonstration at major trade show (RSNA).
    3. Lead Engineer for team of 9 engineers developing certification requirements in legacy C/C# application to meet $100M company commitment. Co-led sprint planning, code reviews, cu
  • University of Notre Dame
    Web Developer
    University of Notre Dame
    Sep 2007 - Dec 2007 (4 months)
    Developed the look and feel for http://cse.nd.edu.
  • GE HealthCare
    Early Identification Program Intern
    GE HealthCare
    May 2007 - Aug 2007 (4 months)
    • Created a continuous integration build, install, and testing framework by combining open source tools.
    • Enhanced CruiseControl front end to provide AJAX based refresh and pass configurable parameters to builds.
  • University of Notre Dame
    Resnet Computing Assistent
    University of Notre Dame
    Aug 2006 - May 2007 (10 months)
    • Diagnosed and solved technology related problems both on-site and over the phone as efficiently as possible using a systematic approach, eliminating possible causes until one fixed the problem.
Education verified_user 0% verified
  • University of Illinois UrbanaChampaign
    Masters, Computer Science
    University of Illinois UrbanaChampaign
    Jan 2008 - Jan 2011 (3 years 1 month)
  • Northwestern University
    Non-Degree, Medical Informatics
    Northwestern University
    Jan 2008 - Jan 2009 (1 year 1 month)
    Credit transfered to University of Illinois
  • University of Notre Dame
    BS, Computer Engineering
    University of Notre Dame
    Jan 2004 - Jan 2008 (4 years 1 month)
Publications verified_user 0% verified
  • J
    Unleash the Power of Fog Computing
    Jun
    Fog computing will dramatically reduce the cost of operating data platforms while enabling new real-time use cases that don’t work in the cloud-and-back architecture most enterprises use today. Ryan Gross describes the challenges (and how to mitigate them) of fog technology and how your organization can accelerate its adoption in the future.
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