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@jpmchase.com
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David Castillo, Phd is listed as Managing Director - Head of Data and AI-ML Technology for Global Bank at JPMorgan Chase & Co., based in Greater Phoenix Area, United States, United States. AeroLeads shows a work email signal at jpmchase.com, phone signal with area code 516, 718, 480, and a matched LinkedIn profile for David Castillo, Phd.
David Castillo, Phd previously worked as Managing Director - Head of Data and AI-ML for Commercial Bank at Jpmorgan Chase & Co. and Managing Director - Firmwide Head of AI-ML Technology & Global Product Line Leader of AI-ML Tech at Jpmorgan Chase & Co.. David Castillo, Phd holds Bs, Engineering from University Of Arizona.
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AeroLeads found 1 current-domain work email signal for David Castillo, Phd. Compare company email patterns before reaching out.
Hands-on AI Product and Engineering Executive with 23+ years experience in the development and deployment of AI and ML systems. I am passionate about delivering value to our customers and stakeholders through AI and ML Products and Solutions. Have led AI Product Management as well as Product Implementation and Execution for a diverse set of industries including financial services, telecommunications, mobile advertising, and NASA. Have been intimately involved in the transformation of industry use cases by leveraging ML, deep learning, explainable AI, AutoML, MLOps, ModelOps and recently Generative AI and Large Language Models (LLMs) including LLMOps. AI/ML use cases span operations, call center, transactional fraud, anomaly detection, AML, personalization, real-time bidding, marketing, advertising, real-time payments, conversational commerce, and numerous other financial services use cases. Am also an advocate for Responsible AI and regularly participate in industry forums aimed at creating awareness and driving solutions for fairness in AI along with monitoring GDPR and CCPA impact on data use and privacy. Recently this has been extended to include the responsible deployment of LLMs ensuring the proper controls are codified in the LLM tech stack. Strongly believe in AI driven automated controls and policy enforcement engines where possible in order to navigate the regulatory requirements of Financial Services.Well versed in the entire ML lifecycle from ideation through build, train, deploy, execute, monitor and refit. Have led the implementation of MLOps, ModelOps and now LLMOps along with the departure from SDLC to MDLC (Model Development Lifecycle) including automation of controls and regulatory toll gates. I am a strong believer in models building models (even in regulated industries) provided there is integrated automated model governance, explainable and interpretable models, and continuous model/data drift monitoring. Am an active participant in the AI community, contributing to industry events as a speaker and thought leader. Additionally, am an Adjunct Professor of Computer Science at the University of Maryland Global Campus, where I teach courses on AI and ML, Cloud, and Advanced Programming Languages and Senior Capstone projects.
Listed skills include Mobile Devices, Software Development, Saas, Analytics, and 38 others.
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New York, NY, US
Accountable for driving the transformation of JPMC's Commercial Bank data assets into a comprehensive Data Ecosystem intentionally engineered to fuel AI’s (including GenAI) and BI's across Commercial Bank and other LOB's within the firm. Additionally, am leading AI/ML (including GenAI) technology across Commercial Bank to drive new revenue generating.
New York, NY, US
Performed a dual role of Firmwide Head of AI/ML Technology and Global Product Line Leader for AI/ML Technology. In these roles I was responsible and accountable for both the Product Management and Engineering of the AI/ML Ecosystem comprising AI/ML and GenAI capabilities developed internally and externally. Interfaced with all Lines of Business (LOBs).
New York, NY, US
Head of JP Morgan Chase OmniAI Machine Learning Ecosystem. OmniAI represents JPMC's global AI/ML platform for supporting all phases of the ML development lifecycle including feature engineering and model monitoring. I am responsible for driving the OmniAI Ecosystem strategy, it's implementation, and firm-wide adoption. Work closely with Product Management.
Adelphi, Maryland, US
Department of Computer Science and Computer Information Systems. Teach online undergraduate courses in Artificial Intelligence and Machine Learning, Beginning, Intermediate and Advanced Programming Languages, Software Design, and Senior Capstone Project (planning, project management, analysis, design, implementation, test, and deployment of a real world.
Mclean, VA, US
Scottsdale, Arizona, US
Head of Data Science, Data Management Platform, and Innovation Labs. Leader of three distinct groups brought together under one organization to maximize the value of Early Warning's unique set of data assets. Responsibilities include:Data Science - Strong advocate in automated machine learning or "driverless data science." Experienced in developing.
New York, NY, US
Chief Technology Officer for Voltari, a Mobile Media Ad Tech company. Responsible for leading Data Sciences, Media Operations, Product Development, BI, IT, and Data Center operations in support of Voltari’s VConnect Mobile Media Audience Targeting and Programmatic Bidding Platform running on Spark and HDFS in a hybrid data center and cloud configuration..
New York City, NYC, US
Participated on the MMA North American Board of Directors as a Director. Voted on key initiatives regarding raising the awareness and acceptance of mobile as an emerging marketing channel. Involved in discussions regarding location-based targeting, attribution methods, programmatic buying, and privacy programs within the MMA.Participated in a number of.
Bellevue, WA, US
Primary architect and lead responsible for developing two Recommendation Engines designed to recommend store front products to mobile subscribers based on their buying patterns. Utilized first-party data with collaborative filtering and multi-variate models (chained together) to perform recommendations in real time. Product catalog consisted of one hundred.
Dallas, TX, US
Tempe, Arizona, US
Led a software development organization specializing in advanced analytics applications and services for a diverse set of industries including online, email and mobile marketing. Responsibilities included managing the organization, authoring the technology roadmap, architecting and designing the platform, and formalizing the Agile development processes.
US
Lead a team of analysts and engineers in the development and deployment of predictive analytics portals for online, and email marketing. Co-inventor one of the first on-demand predictive analytics SaaS platforms designed to provide targeting services to email and online clients. Wrote the modeling and scoring framework used to drive predictions for.
Chief Software Engineer for Motorola’s IRIDIUM Global Telecommunications System. Principal lead of an international team of engineers responsible for developing IRIDIUM’s space-based telecommunications network. Applications included Satellite Control, Orbit Services, Mission Planning, Fault Management, and integration with the Earth Terminals. Principal.
Arlington, VA, US
Technical Lead of a team responsible for the design and development of a number of NASA applications including NASA Space Station Freedom, Mars and Lunar Colonization, Closed Ecological Life Support System, Shuttle and Payload Planning and Scheduling, Shuttle System Diagnostics, and Electronic Hardware System Design. Technology areas included distributed.
Quick answers generated from the profile data available on this page.
David Castillo, Phd works for JPMorgan Chase & Co..
David Castillo, Phd is listed as Managing Director - Head of Data and AI-ML Technology for Global Bank at JPMorgan Chase & Co..
AeroLeads has found 1 work email signal at @jpmchase.com for David Castillo, Phd at JPMorgan Chase & Co..
AeroLeads has found 4 phone signal(s) with area code 516, 718, 480 for David Castillo, Phd at JPMorgan Chase & Co..
David Castillo, Phd is based in Greater Phoenix Area, United States, United States while working with JPMorgan Chase & Co..
David Castillo, Phd has worked for Jpmorgan Chase & Co., University Of Maryland Global Campus, Capital One, Early Warning®, and Voltari.
You can use AeroLeads to view verified contact signals for David Castillo, Phd at JPMorgan Chase & Co., including work email, phone, and LinkedIn data when available.
David Castillo, Phd holds Bs, Engineering from University Of Arizona.
David Castillo, Phd is listed with skills including Mobile Devices, Software Development, Saas, Analytics, Agile Methodologies, Big Data, Integration, and Mobile Applications.
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