Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

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.…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.

Dominic Khaemba

Back-End Developer, Full Stack Developer, AI Engineer, +7





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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Senior Software Engineer at Snowflake

October 1, 2024 - Present

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.

Senior Software Engineer at Tech Fusion

June 1, 2022 - September 30, 2024

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.

Software Engineer at Gannett Peak Technical Services

January 1, 2021 - May 31, 2022

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.

Full Stack Developer at Mercola

August 1, 2019 - December 31, 2020

Developed secure payment gateway integrations using C#/.NET Core 3 with Angular/TypeScript for reliable checkout and transaction processing across a high-traffic e-commerce platform. Built order management and subscription billing workflows using C#/.NET Core 3 REST APIs and Angular components, supporting recurring payments and ensuring transactional state consistency. Implemented PCI-DSS-aligned payment data handling within service layers, enforcing tokenization and encrypted API communication to protect customer financial data at scale.

Speech Data QA for ASR Model Training at Ann Arbor, MI

January 1, 2019 - Present

Reviewed and corrected extensive English speech datasets to enhance recognition accuracy. Identified linguistic anomalies and adjusted tagging protocols to account for dialectal variation, improving phoneme-level consistency across diverse speech samples.

Lead Audio Content Evaluator [Transcription] at Ann Arbor, MI

January 1, 2019 - Present

Evaluated and corrected large volumes of English speech data for linguistic and technical accuracy to support ASR and TTS model training. Performed comprehensive audio quality checks to remove distortions, artifacts, and environmental noise, and ensured proper temporal alignment and annotation reliability. Collaborated with engineers and linguists to refine evaluation and annotation standards, improving dataset consistency for large-scale AI workflows. Used tools including Audacity, Adobe Audition, and ELAN for segmentation, noise cleanup, and synchronization, while strictly following detailed technical guidelines.

Lead Audio Content Evaluator [Transcription]

January 1, 2019 - Present

Evaluated and corrected large volumes of English speech data to ensure linguistic and technical accuracy for ASR and TTS training. Performed audio quality checks to detect and remove distortions, artifacts, and environmental noise, and collaborated with engineers and linguists to refine annotation standards. Used Audacity, Adobe Audition, and ELAN for segmentation, noise cleanup, and synchronization to maintain dataset consistency and strict compliance with detailed evaluation criteria during large-scale workloads.

Backend Developer at BrewApps LLC

August 1, 2018 - July 31, 2019

Developed and maintained server-side healthcare web application logic using C# and .NET Framework. Designed and optimized relational database schemas using SQL Server and Entity Framework for secure storage of sensitive clinical records. Built RESTful APIs via ASP.NET Web API to enable real-time patient data synchronization across the platform.

Linguistic & Acoustic Quality Control for AI Voice Dataset at Detroit, MI

January 1, 2018 - January 1, 2020

Managed end-to-end audio evaluation and flagged technical and prosodic issues. Delivered clean, fully annotated audio suitable for natural-sounding voice synthesis. Reduced annotation error rates by improving QA guidelines and review rigor.

Multimodal Data Preparation for Conversational AI Systems at Lansing, MI

January 1, 2016 - January 1, 2018

Structured and aligned text-audio pairs for dialogue-based conversational AI applications. Ensured accurate temporal segmentation and linguistic coherence, supporting cross-functional teams in preparing datasets for model training.

Digital Content Specialist & QA Reviewer [Audio Editing Group] at Detroit, MI

January 1, 2015 - January 1, 2019

Performed detailed QA reviews on digital content to ensure compliance with technical specifications and style standards. Managed audio production workflows including script review, voiceover direction, and postproduction editing. Balanced content creation and data preparation responsibilities to support high-quality dataset development for digital learning and AI development, while maintaining accuracy and process discipline across production stages.

Digital Content Specialist & QA Reviewer [Audio Editing Group]

January 1, 2015 - January 1, 2019

Provided QA and review for digital audio and content, ensuring compliance with technical specifications and style standards. Supported end-to-end audio production workflows including script review, voiceover direction, and postproduction editing. Balanced content creation and data preparation responsibilities to support high-quality dataset creation for digital learning and AI development, while maintaining rigorous attention to detail and consistency.