Lewis W.

Key Skills

Software

Label Studio

CVAT

Don't disclose

Top Subject Matter

Medical imaging annotation for clinical NLP

object detection

and semantic segmentation

Top Data Types

Video

Image

Document

Text

Top Task Types

Diagnosis

Bounding Box

Freelancer Overview

Senior Public Administration & Compliance Analyst (AI-assisted document review and quality evaluation). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose. Education includes Master of Science, Georgetown University (2019) and Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (2016). AI-training focus includes data types such as Document and labeling workflows including Evaluation and Rating.

Labeling Experience

Senior Data Annotation Specialist at Centaur Labs

Label StudioDiagnosis

Led a team of 8 annotators to label medical imaging datasets, including X-ray, MRI, and CT scans, maintaining high inter-annotator agreement. Designed annotation guidelines and ontologies for multiple ML projects to support consistent label quality across object detection, semantic segmentation, and clinical NLP. Performed large-scale QA audits on labeled assets and collaborated with ML engineers to resolve edge-case ambiguities and refine taxonomies. • Labeled medical imaging datasets (X-ray, MRI, CT) • Achieved 98.5% inter-annotator agreement and reduced error rates by 23% • Automated annotation consistency checks and inter-annotator agreement reporting • Audited 50,000+ labeled assets per month using Label Studio and review pipelines

2023 - Present

Senior Public Administration & Compliance Analyst (AI-assisted document review and quality evaluation)

Don't discloseDocument

Reviewed AI-generated summaries of government documents to evaluate factual accuracy, clarity, consistency, and contextual relevance against project guidelines. Contributed to establishing quality assurance standards for document evaluation and administrative reporting to support reliable AI-assisted review workflows. Performed compliance-focused validation of public agency documentation to ensure outputs met regulatory and confidentiality expectations. • Assessed completeness and consistency of policy implementation reports • Interpreted public administration legislation and executive directives to validate summaries • Checked emergency preparedness and operational documentation alignment with public safety standards • Collaborated across legal, finance, planning, and administration to improve review quality

2020 - 2025

Machine Learning Data Associate at Mighty AI (acquired by Uber)

CVATVideoBounding Box

Annotated autonomous driving datasets using computer vision labeling workflows across large volumes of video frames. Specialized in LiDAR point cloud labeling to support 3D object detection tasks for self-driving pipelines. Maintained high throughput against weekly quotas while upholding quality standards through calibration and QA alignment sessions. • Labeled lane markings, pedestrian bounding boxes, and traffic sign classifications across 100,000+ video frames in CVAT • Performed LiDAR point cloud labeling for 3D object detection • Maintained 95%+ throughput and 97%+ quality score • Mentored new hires on annotation best practices and tooling workflows

2021 - 2023

Public Policy Research & Administrative Services Specialist (administrative and compliance document evaluation)

Don't discloseDocument

Reviewed administrative procedures, legislative documents, and regulatory materials to assess clarity, implementation feasibility, and compliance alignment. Evaluated grant applications and nonprofit compliance documentation prior to funding approval, supporting accurate administrative decision-making. Produced technical reports and executive summaries that synthesized evidence from policy and expenditure documentation. • Conducted policy research supporting state and local government initiatives • Analyzed public expenditure reports and administrative budgets for inconsistencies and financial risks • Maintained official administrative records according to public records management standards • Supported quality improvement through policy evaluation and process analysis

2017 - 2019

Education

Work History