Dominic Khaemba
I’m Dominic Khaemba, an audio generalist evaluator with 9+ years of experience focused on linguistics, content quality assurance, and speech dataset preparation for AI research.
About
I’m Dominic Khaemba, an audio generalist evaluator with 9+ years of experience focused on linguistics, content quality assurance, and speech dataset preparation for AI research. I specialize in reviewing and correcting English speech data for linguistic and technical accuracy, ensuring recordings are clean, well-segmented, and consistently annotated for ASR and TTS training.
I work closely with engineers and linguists to refine annotation standards, improve dataset reliability, and reduce error rates through rigorous QA processes. From audio quality checks (noise/artifact detection and synchronization) to structured text-audio alignment for conversational systems, I bring strong technical precision, clear documentation, and a dataset-first mindset to every evaluation workflow.
- 11 years' experience
- Joined July 2026
Industry experience
- Healthcare
- Software & Internet
- Professional Services
- Education
- Media & Entertainment
- Computers & Electronics
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Work experience· 12 roles
Architected core backend services for CortexMed using C#/.NET 8 and ASP.NET Core, implementing HL7 FHIR R4 ingestion pipelines that normalized patient records into Snowflake Health Data Cloud. Integrated Snowflake Cortex and Azure OpenAI into a .NET 8 API abstraction layer to enable LLM-driven automation of ICD-10/CPT coding and clinical visit summarization, reducing physician documentation overhead. Built clinical dashboards with Blazor WebAssembly and React/TypeScript, surfacing real-time patient risk scores and population health metrics via Snowflake Cortex Analyst APIs. Developed ML model serving pipelines with Snowpark and .NET worker services, integrating readmission and sepsis prediction models while maintaining HIPAA compliance across AI inference workflows.
Architected HIPAA-compliant C#/.NET Core 8 microservice APIs for UnitedHealth Group’s member eligibility and benefits enrollment platform, enforcing encryption, audit logging, and RBAC across distributed boundaries. Implemented MediatR (CQRS) with Entity Framework Core and custom ASP.NET Core pipeline behaviors to standardize validation, request handling, and auditable PHI access across PostgreSQL. Designed event-driven communication using Azure Service Bus with Polly retry policies to decouple enrollment/eligibility workflows and improve fault tolerance. Deployed containerized .NET microservices on Azure with Docker and Azure DevOps CI/CD pipelines for regulated environments. Built Blazor Server admin tooling with SignalR for real-time eligibility/enrollment visibility, reducing manual processing overhead for high-volume payer data.
Developed backend services using C#/.NET Core for the Wyoming WINGS Medicaid modernization project, enabling real-time claims processing for statewide healthcare providers. Engineered HIPAA-aligned RESTful APIs and data models using C#, ASP.NET Core, and Entity Framework with secure, scalable data handling across client-facing healthcare projects. Designed and implemented ASP.NET API integrations with Azure-hosted services and React front-end components for a Medicaid Benefit Management System (BMS), streamlining claims submission workflows and reducing provider administrative overhead.
Education· 5
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