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Matthew P.

Matthew P.

AI Data Trainer & Evaluator at Handshake – Project Hedgehog

USA flagPoint Pleasant Beach, Usa

Key Skills

Software

Don't disclose

Top Subject Matter

Multimodal AI / LLM evaluation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
Fine-tuningFine-tuning
ClassificationClassification
Object DetectionObject Detection
Text GenerationText Generation
Text SummarizationText Summarization
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
Question AnsweringQuestion Answering

Freelancer Overview

I am a Finance student at UNC Wilmington with hands-on experience in AI data training and evaluation through my current roles at Handshake AI – Project Eschor and Hedgehog. In this position, I evaluate LLM outputs across text, audio, and visual inputs for accuracy and reasoning quality, provide structured feedback to directly improve model performance, and identify failure patterns across multimodal AI tasks. My technical foundation is further supported by coursework and certifications in AI literacy, as well as practical skills in prompt engineering and LLM evaluation. What sets me apart is the combination of my AI evaluation experience with a proven track record of high-stakes analytical decision-making — developed over five years as an Ocean Lifeguard and Manager of Beach Operations, where real-time risk assessment and structured situational reporting were daily requirements. I have also applied machine learning independently, building a binary ML classifier to predict S&P 500 ETF price movements using technical indicators. This blend of formal AI training work, self-directed ML project experience, and a disciplined analytical mindset positions me to deliver consistent, high-quality contributions to data labeling and AI training pipelines.

Labeling Experience

AI Data Trainer & Evaluator at Handshake – Project Eschor

ImageImageFine-tuningFine-tuning

As part of an AI model improvement initiative, I worked within a structured red-teaming and adversarial evaluation framework designed to identify and correct failure modes in large language model (LLM) outputs. The core objective was to surface incorrect, inconsistent, or vulnerable model behaviors by crafting inputs specifically designed to expose weaknesses in image extraction.

2026 - Present

AI Data Trainer & Evaluator at Handshake – Project Hedgehog

Don't discloseTextTextBounding BoxBounding Box

Evaluated LLM outputs across multimodal inputs to assess accuracy and reasoning quality. Provided structured feedback to improve model performance and highlight areas needing adjustment. Identified recurring failure patterns across different multimodal AI tasks. Assessed output correctness and reasoning quality. Produced actionable feedback for model improvement, tracked and surfaced failure patterns. Evaluated performance across text/audio/visual inputs

2025 - Present

Education

U

University of North Carolina Wilmington

Bachelor of Science, Finance

Bachelor of Science
2027

Work History

H

Handshake

AI Data Evaluator

Wilmington
2025 - Present
S

Spring Lake Borough

Manager of Beach Operations

Spring Lake
2025 - 2025