Gino G.

Key Skills

Software

No software listed

Top Subject Matter

Large Language Models (LLMs) and AI Model Evaluation

AI Product Development and Model Evaluation

Python Programming and AI concepts

Top Data Types

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Document

Top Task Types

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Freelancer Overview

AI Trainer & LLM Evaluation Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Master of Science, Carnegie Mellon University, School of Computer Science (2025) and Associate of Arts, Gavilan College (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and AI Training.

Labeling Experience

AI Product Development Intern

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As an AI Product Development Intern, I validated AI model performance using key metrics across diverse test data sets. Automated data collection pipelines were built and maintained to support model training dataset curation. Structured simulated user testing was conducted to evaluate AI behavior in edge cases and real-world settings. • Validated model performance using structured evaluation metrics • Supported data curation for model training through automation • Conducted simulated user testing for coverage of atypical cases • Assisted with responsible AI lifecycle documentation and reporting

2025 - Present

AI Trainer & LLM Evaluation Specialist

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As an AI Trainer & LLM Evaluation Specialist, I applied rubric-based scoring methods and annotation frameworks to ensure dataset consistency and evaluation reproducibility in LLM assessment cycles. I systematically identified and documented LLM failure patterns, generating structured evaluation reports in alignment with AI QA standards. Advanced prompting strategies were engineered to improve the output of text and multimodal generation models. • Executed rubric-based and annotation-driven LLM evaluations at scale • Produced structured failure reports identifying hallucinations, bias, and tone drift • Delivered bias-aware evaluation insights to support model improvements • Collaborated closely with research teams to refine quality benchmarks

2024 - Present

Computer Science & Python Programming Tutor

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As a Computer Science & Python Programming Tutor, I delivered individualized AI tutoring sessions focused on Python programming, algorithmic problem-solving, and introductory data workflows. I guided students through systematic debugging approaches and explained best practices in algorithmic decomposition. Coordination with instructors ensured AI training objectives and technical mastery were achieved. • Led 15+ AI/CS-focused tutoring sessions weekly for students • Fostered systematic problem decomposition and troubleshooting • Coordinated AI tutoring with course objectives for improved learning • Modeled QA processes relevant to data science and beginner AI

2022 - 2022

Education

Work History