David Castillo

Hands on AI and Machine Learning (ML) Technology Executive specializing in combining AI/ML with large-scale distributed systems (on prem and in the cloud) to solve industry use cases. Have been intimately involved in the transformation of AI and ML through statistical modeling, deep learning and now explainable AI. Led the development of supervised, unsupervised, and deep learning ML solutions across several different industry use cases involving fraud, anomaly detection, AML, personalization, real-time bidding, marketing and advertising, real-time payments, and conversational commerce. 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 ML.

Well versed in the entire ML lifecycle from Feature Engineering through build, train, deploy, execute, monitor and refit. My background includes developing platforms to support Automated ML (AutoML) which includes automated model training with containerized deployment and more recently powered by reinforcement learning. 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.

Highlights include:

• Reinforcement learning with automated low-latency learning
• Using ML to create automated model governance
• ML content and product recommendation engines
• Feature ecosystems and automated data pipelines
• Real-time decisioning using ML
• ML and real-time payments
• Anomaly detection using ML
• Real-time consumer profile feature assembly
• ML for personalizing online and mobile banking
• Programmatic real-time bidding platforms using ML
• Explainable, transparent, interpretable, fair and responsible AI

Education

• University of Arizona
  • BS Engineering
• Arizona State University
  • MS Engineering
• University of Central Florida
  • PhD Engineering

Experience

JPMorgan Chase & Co.

• Managing Director of OmniAI Ecosystem
  • Aug 2020 – Present

University of Maryland Global Campus

• Adjunct Professor
  • Aug 2012 – Present

Capital One

• Managing Vice-President - Leader of the Center for Machine Learning
  • Jun 2018 – Aug 2020

Early Warning®

• Data Science, Data Management, Innovation Leader
  • Feb 2015 – Jun 2018

Voltari

• Chief Technology Officer
  • Sep 2012 – Feb 2015

Mobile Marketing Association

• Director - North American Board of Directors
  • Jan 2013 – Jan 2015

Motricity (Pivoted to Voltari)

• Chief Architect - Analytics
  • Apr 2011 – Sep 2012

Adenyo (Acquired by Motricity)

• VP Architecture
  • Jun 2010 – Apr 2011

KinetX Analytics Search Technology (KAST) (Acquired by Adenyo)

• Chief Information Officer, VP Software Development
  • Nov 2008 – Jun 2010

Copperkey (Acquired by KAST)

• Chief Technology Officer and Founder
  • Feb 1997 – Oct 2008

Boeing (formerly McDonnell Douglas Space Systems)

• SW Engineer - Artificial Intelligence
  • 1986 – 1991