Mary P.

Key Skills

Software

Other

Top Subject Matter

AI document processing

Classification Domain Expertise

and compliance-aware decision support in financial services

Top Data Types

Document

Text

Computer Code Programming

Top Task Types

Text Generation

Object Detection

Question Answering

Text Summarization

Fine-tuning

Red Teaming

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Data Collection

Computer Programming/Coding

Function Calling

Freelancer Overview

Self-Employed Independent Consultant — AI implementation, analytics, and workflow automation (2019–2025). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Florida Southern College (2022) and Precollege Program, Brandeis University Precollege Programs (2017). AI-training focus includes data types such as Document and labeling workflows including Text Generation, Evaluation, and Rating.

Labeling Experience

Self-Employed Independent Consultant — AI implementation, analytics, and workflow automation (2019–2025)

DocumentText Generation

Led end-to-end AI implementation and NLP/LLM tool development that supported document processing, classification, and decision support for client workflows. Built and refined automation pipelines for handling and structuring unstructured inputs in regulated domains. Focused on making AI outputs usable under compliance constraints for downstream operators and stakeholders. • Extracted and restructured legacy data into modern analytics environments. • Developed NLP/LLM-based internal tools for document processing and classification. • Designed automation/data handling practices aligned with HIPAA, FERPA, NERC, and SEC. • Created reusable system frameworks to standardize implementations across engagements.

2019 - 2025

Florida Southern College — Student Researcher (2019–2021)

OtherDocument

Conducted quantitative behavioral research relevant to AI training through experimental study design and analysis of responses to marketing stimuli. Produced research outputs suitable for informing human-centered decision-making systems and model evaluation hypotheses. Presented findings at a university research conference. • Designed and executed an original experimental study with quantitative methods. • Analyzed behavioral and consumer responses to brand marketing stimuli. • Contributed to research aligned with behavioral data, decision-making systems, and human-centered AI design. • Presented study findings publicly at the Florida Undergraduate Research Conference.

2019 - 2021

Education

Work History