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T
Thelbert B.

Thelbert B.

Applied AI evaluation workflow and structured LLM assessment (projects: LLM Response Ranking & Preference Study; Halluci

USA flagN/A, Usa

Key Skills

Software

Other

Top Subject Matter

LLM response evaluation
hallucination detection
rubric-based scoring

Top Data Types

TextText
DocumentDocument

Top Task Types

SegmentationSegmentation
ClassificationClassification
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization

Freelancer Overview

Applied AI evaluation workflow and structured LLM assessment (projects: LLM Response Ranking & Preference Study; Halluci. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science in Nursing, University of Florida (2017). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation and Rating.

Labeling Experience

Applied AI evaluation workflow and structured LLM assessment (projects: LLM Response Ranking & Preference Study; Hallucination & Factual Integrity Audit Set; Prompt Sensitivity & Output Variance Testing)

OtherTextText

Performed structured AI evaluation and rubric-based scoring of LLM outputs, including pairwise response ranking and instruction-following verification. Detected hallucinations and unsupported claims by isolating violations, verifying logical grounding against provided constraints, and classifying severity. Documented justification logs and correction-oriented feedback notes to ensure auditability, repeatability, and defensible decisions. • Pairwise ranking across reasoning, factuality, and instruction-following prompt categories • Multi-dimension rubric scoring (factual accuracy, reasoning validity, instruction adherence, completeness) • Hallucination and unsupported claim detection with traceability checks • Structured evaluation logs and prompt-iteration notes for reproducibility

2019 - Present

Registered Nurse (Medical-Surgical / Progressive Care) with structured evaluation, discrepancy detection, and audit-ready compliance documentation

Other

Executed structured evidence-based clinical assessments and maintained audit-ready documentation under regulatory requirements. Performed discrepancy detection in patient records and care instructions using structured decision-making frameworks. Trained junior staff on documentation accuracy, compliance workflows, and error-prevention practices to improve consistency and reduce high-stakes errors. • Structured clinical assessment and audit-ready documentation • Detection of inconsistencies/discrepancies in records and medication/care orders • Compliance-driven, accuracy-critical evaluation under time constraints • Training junior staff on documentation accuracy and error prevention

2017 - 2018

Education

U

University of Florida

Bachelor of Science in Nursing, Nursing

Bachelor of Science in Nursing
2017 - 2017

Work History

T

Torrance Memorial Medical Center

Registered Nurse – Medical-Surgical / Progressive Care

N/A
2018 - Present
P

Providence Little Company of Mary

Registered Nurse

N/A
2017 - 2018