Christopher Spencer

I’m a Senior AI/ML Engineer and analytics engineering leader with 15+ years of experience delivering production-grade Python, Spark, and cloud-native machine learning platforms. I’ve applied advanced analytics across financial services, healthcare, and enterprise analytics environments, with a focus on ideation-through-deployment results.

In my current role, I lead and manage multiple teams of Data Scientists and Analytics Engineers, overseeing enterprise-scale machine learning and advanced analytics solutions that support core business decisioning platforms. I architect and implement large-scale Databricks and Apache Spark environments to process billions of records, and I build end-to-end Python ML pipelines covering feature engineering, model training, validation, and deployment using Spark ML.

I operationalize machine learning through API-driven architectures, building RESTful services with FastAPI and Flask so downstream applications and business consumers can access predictive insights. I standardize deployment and scheduling with Docker-based containerization and Airflow orchestration across AWS and Azure, and I introduce advanced techniques like ensemble models, anomaly detection, and time-series forecasting to solve high-impact problems.

Earlier, I worked as an AI/ML Engineer with P3Health Partners, delivering scalable Python and Apache Spark pipelines for clinical and claims data and building SQL-based analytics layers with PostgreSQL and SQL Server. Before that, I served as a Senior Software Engineer at JPMorgan Chase & Co, where I built secure, reliable Python/Java services, implemented API layers with authN/authZ and audit logging, and strengthened delivery with CI/CD and automated quality gates—work that still shapes how I lead, mentor, and ship dependable analytics systems today.