Ryan Cooper

Senior AI/ML Engineer at Comcast

Led AI/ML initiatives embedding real-time intelligence into the Xfinity platform, powering personalization, pricing optimization, and customer support using scikit-learn, XGBoost, SageMaker, and other tools. Built and maintained reproducible ML pipelines, deployed model monitoring and governance, integrated ML features into APIs and front-end experiences. Drove end-to-end ML platform modernization across data pipelines, experimentation, governance, and CI/CD. Implemented guardrails for safety and compliance, and designed production-ready workflows with human-in-the-loop evaluation and prompt-engineering dashboards to monitor adoption and performance.

AI Developer Project Lead – PersonalAI at Meta (Facebook) - FAIR

Led early template-based natural language systems for benefits Q&A, coding audits, and patient communications, informing enterprise guidance on future LLM integration. Built scalable ranking, NLP, and RL frameworks for user-centered feedback; prototyped dashboards and experiments supporting governance and interpretability. Mentored junior engineers and contributed to knowledge-sharing and AI governance.

Senior AI/ML Engineer at Comcast

Lead AI/ML initiatives embedding real-time intelligence into the Xfinity platform, powering personalized experiences and pricing optimization. Built ML pipelines using scikit-learn, XGBoost, and SageMaker; migrated legacy forecast/inventory models to Spark, Airflow, and dbt; integrated OCR and layout parsing for structured documents; developed low-latency inference and CI/CD workflows with GitHub Actions; established governance, compliance, and monitoring dashboards; collaborated with platform, product, and ops teams.

ML Engineer - Fraud, Waste & Abuse (FWA) Detection at Aegis AI

Designed and deployed NLP and ML pipelines for fraud detection, claims automation, and population health risk modeling. Built longitudinal patient journey models, transformer-based QA systems, and integration with Redis and PostgreSQL for real-time features; established end-to-end data validation, model governance, and production monitoring; collaborated with clinical and actuarial teams to incorporate health risk scoring into care pathways; deployed containerized models on Kubernetes with CI/CD.

Senior AI/ML Engineer at Comcast

Led a company-wide Xfinity AI Platform Modernization effort, embedding real-time intelligence into the platform to drive personalization, pricing optimization, and customer support. Implemented AI and ML pipelines using OpenAI GPT-4, Claude, LangChain, SageMaker, and on-prem/off-cloud components; built RAG-based retrieval pipelines with a production vector store; integrated Apache Tika, Tesseract OCR, LayoutLMv3 for structured document parsing in retrieval workflows; optimized inference with ONNX Runtime and Triton; established CI/CD workflows with GitHub Actions; implemented model governance, safety rails, and monitoring; collaborated with enterprise product, compliance, and platform teams to align ML solutions with business goals.

ML Engineer at Aegis AI

Led population health risk modeling and NLP/MLOps initiatives for claims automation and patient communications. Built risk stratification models using XGBoost and LightGBM on 80M+ records; integrated knowledge graphs for contextual patient data; supported end-to-end model deployment into health care workflows; partnered with clinicians and payers to inform value-based care strategies; implemented audit-ready data validation and monitoring.