Adams Struck

Led development of production multi-agent AI systems and RAG pipelines, improving task automation and recommendation accuracy by 40% and reducing response latency by 60%. Implemented multi-GPU fine-tuning, MLOps, and observability to lower token costs and maintain system reliability.

Led design and deployment of an AI-powered virtual care triage system and multi-modal symptom pipelines, improving care-matching accuracy by 42% and automating 70% of routine patient inquiries while reducing response times by 55%.

Developed backend microservices and data pipelines for patient-provider matchmaking, improving retention prediction accuracy by 31% and modernizing front-end experiences with React and TypeScript. Implemented automated testing achieving 93% coverage.

Designed an AI-enhanced geolocation and alerting engine handling 2M data points per minute and reduced latency to 200ms, while increasing severe weather notification accuracy by 38% and cutting infrastructure costs by 27%.

Built distributed task systems and ETL pipelines for the Collaborative Cancer Cloud, integrating >41M nodes for biomedical ML and enabling HPC and cloud execution to support large-scale research efforts.

Completed a Master of Science in Bioinformatics, focusing on computational analysis for biomedical research and large-scale data integration.

Earned a Bachelor of Science in Biochemistry with Department Honors, emphasizing molecular biology and quantitative laboratory techniques.