Daniel Cooper
I'm Daniel Cooper, a senior AI/ML leader with 10+ years of experience building and scaling production-grade AI systems across grocery retail marketplaces and global health care enterprise systems.
About
I’m Daniel Cooper, a senior AI/ML leader with 10+ years of experience building and scaling production-grade AI systems across grocery retail marketplaces and global health care enterprise systems. I specialize in Generative AI, Large Language Models (LLMs), machine learning at scale, MLOps, and cloud-native AI platforms. I’m a hands-on technical leader and solution architect recognized for translating complex business problems into high-impact AI solutions that drive revenue growth, operational efficiency, cost reduction, and risk mitigation in regulated and high-throughput environments.
I’m passionate about shaping AI strategy, governance, platform standards, and tooling decisions at scale, partnering with product and engineering teams to deliver end-to-end AI lifecycles from problem framing to deployment and enterprise adoption.
- 9 years' experience
- Joined February 2026
Skills· 5
Languages
- EnglishFluent
Industry experience
- Healthcare
- Retail
- Software & Internet
- Professional Services
- Life Sciences
Work experience
Led delivery of enterprise-scale AI and Generative AI solutions across Instacart's grocery marketplace, applying Python, SQL, ML, transformer architectures, and decision intelligence to drive customer growth, retailer efficiency, and operational scalability.
Designed production-grade ML systems for health care cost, utilization, and risk prediction; built pipelines using Python, SQL, scikit-learn, XGBoost, LightGBM; applied supervised learning, ensemble methods, model evaluation, and deployment to reduce costs, mitigate risk, improve member engagement, and support patient outcomes.
Designed and evaluated end-to-end production-grade ML lifecycles for health care cost, utilization, and risk prediction; built end-to-end ML pipelines; performed advanced EDA, hypothesis testing, cohort analysis, and feature engineering; implemented governance and regulatory-compliant AI practices to support enterprise decision-making.
Education
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