Domingo Garcia

Architected and deployed scalable AI/ML systems including document classification, RAG search, real-time anomaly detection, and medical claims fraud detection, improving accuracy up to 95% and reducing processing/response times by up to 65%. Led MLOps, multi-cloud IaC, and CI/CD practices to achieve >99.9% platform availability and automated 75% of workflows.

Led architecture of scalable AI-driven healthcare data processing and inference systems using Transformers and Triton, improving model accuracy by 24% and supporting over 10,000 daily low-latency requests while enhancing clinical data extraction efficiency by 17%.

Engineered secure, high-availability microservices and data platforms for real-time financial insights, increasing throughput by 50%, improving query performance by 40%, and reducing ops costs by 53% through multi-cloud and streaming architectures.

Developed full-stack automation and real-time data systems, building SPAs and backend services that reduced manual workflows by 40% and delivered containerized anomaly detection and CI/CD pipelines for scalable deployments.

Doctoral studies in Artificial Intelligence focusing on advanced AI/ML research and systems engineering.

Completed a Master of Science in Computer Science with emphasis on machine learning and natural language processing.

Activities and societies: ICPC Gold Prize 2012

Earned a Bachelor of Science in Computer Science with coursework in software engineering and algorithms.