Patrick Ogar

Key Skills

Software

Mindrift

Top Subject Matter

General AI/LLM outputs

Top Data Types

Text

Audio

Top Task Types

Object Detection

Fine Tuning

Evaluation Rating

Freelancer Overview

Data Scientist & Prompt Engineer. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mindrift. Education includes Master of Science, Cross River University of Technology (2024) and Bachelor of Science, Cross River University of Technology (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotation

VideoObject Detection

Anotate video action and object interacted with by ego.

Anotate video action and object interacted with by ego.

2025 - 2026

Data Scientist & Prompt Engineer

MindriftText

As a Data Scientist & Prompt Engineer at Mindrift, I compared AI responses to prompts to ensure their safety, helpfulness, and factuality. I reviewed, rated, and evaluated model-generated answers alongside real user prompts to provide quality feedback. My responsibilities included offering constructive reviews to annotators and checking for accuracy in AI outputs. • Conducted prompt-based evaluations of AI responses • Ensured model outputs adhered to safety and truthfulness standards • Provided qualitative feedback to annotators • Collaborated on improving recommendation systems and algorithms.

As a Data Scientist & Prompt Engineer at Mindrift, I compared AI responses to prompts to ensure their safety, helpfulness, and factuality. I reviewed, rated, and evaluated model-generated answers alongside real user prompts to provide quality feedback. My responsibilities included offering constructive reviews to annotators and checking for accuracy in AI outputs. • Conducted prompt-based evaluations of AI responses • Ensured model outputs adhered to safety and truthfulness standards • Provided qualitative feedback to annotators • Collaborated on improving recommendation systems and algorithms.

2024 - 2025

Education

Work History