Dan N.

Key Skills

Software

AWS SageMaker

Appen

Encord

Scale AI

Snorkel AI

V7 Labs

Other

Top Subject Matter

Medical AI

Computer Vision

Video data

Top Data Types

Medical Dicom

Text

Video

Document

Top Task Types

Bounding Box

Classification

Polygon

Transcription

Freelancer Overview

ML Data Operations Manager, Amazon AWS (AI Data). Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Encord, Internal, and Proprietary Tooling. Education includes Master of Science, London School of Hygiene and Tropical Medicine (2020) and Bachelor of Science, Stony Brook University (2011). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Transcription, Evaluation, and Rating.

Labeling Experience

ML Data Operations Manager, Amazon AWS (AI Data)

EncordTextTranscription

Led an ML data operations team delivering high-quality annotated data to support model development across multiple Amazon product lines. Oversaw transcription-related labeling, adjudication, and human evaluation workflows with regular quality audits and operational reporting. Ensured timely intake planning and KPI-driven execution for customer-requested data projects. • Managed 13 ML data linguists and coordinated execution with internal customers and language engineers. • Conducted ongoing audits to ensure data protocol compliance and project accuracy. • Maintained strategic documentation, roadmap, and reporting for operational efficiency. • Delivered transcription, annotation, adjudication, and human evaluation outputs using Encord tooling.

2024 - Present

Senior Manager, Data Operations AI/ML, Iterative Health

EncordText

Led data operations for AI/ML training and validation datasets requiring 183 million labels to meet commercial and FDA requirements. Managed internal teams and external annotation vendors to execute end-to-end annotation workflows and maintain quality metrics for model readiness. Reduced annotation costs through tailored strategies while improving model sensitivity and supporting 510(k) FDA approval. • Supervised direct reports (project managers and specialists) and oversaw vendor task execution. • Organized curation, annotator training, A/B testing, golden dataset development, scheme iteration, and QA. • Built a Data Operations Quality System with SOPs, work instructions, and databases for FDA submission readiness. • Produced data reports and dashboards to monitor quality, diversity, volume, and operational efficiency.

2022 - 2024

Product Data Operations Manager, AI/ML, Enlitic

Classification

Implemented AI/ML data annotation pipelines and SOPs to ensure quality, consistency, and integrity of training datasets. Coordinated with contracted vendors and clinical annotators/radiologists to configure annotation platforms and support ontology and labeling workflows. Managed resources, reporting, and documentation for ongoing dataset quality and compliance. • Developed and oversaw modeling proposals and ontology creation with clinical and product stakeholders. • Provided technical support to vendors/annotators and maintained annotation platform customization. • Tracked dataset quality, diversity, and relevance over time with internal reporting. • Performed vendor cost analysis and ROI insights while coordinating cross-functional delivery.

2021 - 2022

Data Curator, AI/ML (Freelancer), Passio, Inc.

OtherTextClassification

Performed data curation and labeling to support food and item recognition model development. Harmonized samples by applying appropriate labels and visual categories, improving dataset usefulness for prediction accuracy. Assisted with quality assurance by excluding low-value data and escalating platform issues for improvement. • Annotated data samples using defined parameters and features. • Collected and harmonized data according to semantic labels and categories. • Analyzed and excluded low-value items to improve dataset quality. • Conducted QA and attached label metadata/reference information for model training.

2020 - 2021

Education

Work History