Michael O'Neal

ClaimHawk

• Integrated with legacy healthcare platforms including Dentrix and OpenDental to automate high-volume claims-processing tasks across desktop and cloud environments
• Architected and implemented the fullstack platform from the ground up, including workflow orchestration, desktop automation pipelines, cloud infrastructure, and ML-powered document/action processing
• Developed deterministic automation workflows integrating with legacy Windows healthcare software including Dentrix and OpenDental
• Designed scalable backend systems and operational tooling for long-running workflow execution, task coordination, and human-in-the-loop processing
• Led development across frontend, backend, infrastructure, and ML systems using TypeScript, Python, React/Next.js, AWS, Terraform, PyTorch, and CUDA
• Trained and managed interns responsible for data collection, labeling, and transformation workflows supporting model and automation pipeline development

Tylt

• Designed and built fullstack AI/ML platforms supporting data generation, model training, evaluation, inference, and operational deployment workflows
• Developed internal tooling for dataset generation, labeling, transformation, evaluation, and model performance benchmarking across computer vision and ML systems
• Built video-to-training-data pipelines used to extract, process, and structure large-scale action and image datasets for supervised and reinforcement learning workflows
• Architected and deployed GPU-backed inference infrastructure for computer vision workloads, including model serving, batching, monitoring, deployment automation, and operational tooling
• Implemented CI/CD and infrastructure-as-code workflows for reproducible ML training, evaluation, and inference environments across local and cloud infrastructure
• Built and delivered medical imaging classification systems for radiology workflows supporting X-ray, CT, and PET scan analysis

GEICO

• Built and maintained high-throughput backend and internal fullstack applications supporting insurance claims, rating, and enterprise data workflows
• Developed ETL systems, internal tooling, and backend services handling large transactional datasets across legacy and modernized platforms
• Built ETL pipelines, automated validation systems, and atomic migration tooling supporting large-scale production database migrations with strict zero-data-loss requirements
• Led a data transformation team responsible for backend processing systems, workflow tooling, and enterprise migration initiatives
• Improved processing efficiency and reliability across business-critical systems supporting high-volume operational workloads
• Trained and mentored offshore engineering teams during a large-scale organizational offshoring transition
• Collaborated across engineering and business stakeholders to modernize internal operational tooling and processing workflows

Uber (via contract)

• Joined a small engineering team during Uber’s hypergrowth phase to support migration of hundreds of PostgreSQL databases into a hybrid MySQL and schemaless architecture
• Built ETL pipelines, automated validation tooling, and atomic migration workflows to support large-scale data migrations with zero data loss requirements
• Developed backend tooling and migration automation to improve reliability, rollback safety, and operational visibility throughout the migration process
• Collaborated directly with core engineering teams to support high-volume production infrastructure modernization efforts during rapid company scaling
• Contributed across backend systems, data transformation workflows, testing infrastructure, and migration orchestration tooling