Dennis Tien Donaghy

Key Skills

Software

Snorkel AI

Top Subject Matter

Agentic Generative AI Evaluation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Top Task Types

No task types listed

Freelancer Overview

Expert Contributor – Machine Learning (Evaluation Workflows). Brings 19+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Snorkel AI. Education includes Postgraduate Certificate, The University of Texas at Austin, McCombs School of Business and Bachelor of Arts, New York University, College of Arts and Science. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Expert Contributor – Machine Learning (Evaluation Workflows)

Snorkel AIText

Designed evaluation benchmarks and workflows for generative AI models as part of agentic coding model research. Created and implemented reproducible test runs to systematically assess LLM outputs using custom test scripts. Evaluated and rated model performances through structured process using Python, PyTest, and domain-specific metrics. • Developed custom, portable and reproducible benchmarking test runs for agentic AI models. • Built workflows for systematic evaluation and documentation of AI-generated outputs. • Used Linux, Python, Docker, and Snorkel AI for AI model assessment. • Focused on agentic AI coding models and benchmark protocol development.

Designed evaluation benchmarks and workflows for generative AI models as part of agentic coding model research. Created and implemented reproducible test runs to systematically assess LLM outputs using custom test scripts. Evaluated and rated model performances through structured process using Python, PyTest, and domain-specific metrics. • Developed custom, portable and reproducible benchmarking test runs for agentic AI models. • Built workflows for systematic evaluation and documentation of AI-generated outputs. • Used Linux, Python, Docker, and Snorkel AI for AI model assessment. • Focused on agentic AI coding models and benchmark protocol development.

2025 - 2025

Education

Work History