Gage S.

Key Skills

Software

No software listed

Top Subject Matter

Generative AI model fine-tuning for brand content consistency

Agentic LLM workflow orchestration for automated content generation

Top Data Types

Text

Top Task Types

Fine-tuning

Function Calling

Freelancer Overview

Logistics Dispatch and Operations Analyst. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneTrainer and Make.com. Education includes Associate of Science, Tri-County Technical College. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Fine-tuning and Function Calling.

Labeling Experience

Independent Project | AI Automation Architect (2025 – Present): Agentic workflow automation for brand content

TextFunction Calling

The candidate architected end-to-end agentic workflows that automated brand content generation by connecting LLM APIs through Make.com. While not framed as manual data labeling, the work involves preparing and orchestrating LLM interactions (prompting, calling functions/tools, and generating structured outputs) to produce consistent branded content. The role includes building reliability monitoring and iterating on agent logic based on pipeline performance. • Automated brand content generation using LLM API calls • Orchestrated workflows in Make.com with agentic logic • Implemented monitoring pipelines to evaluate system performance • Iterated on agent prompts/logic to improve reliability

2025 - Present

Independent Project | AI Automation Architect (2025 – Present): LoRA fine-tuning with OneTrainer

Fine-tuning

The candidate trained custom LoRA models using OneTrainer to improve output consistency and brand adherence for a digital IP project. This reflects AI model fine-tuning work where training data and supervision are used to steer generative outputs toward desired characteristics. The effort also included deploying the fine-tuned models as part of an end-to-end agentic workflow system. • Trained LoRA fine-tuning models with OneTrainer • Used fine-tuning to enforce brand adherence and consistency • Prepared and iterated on training assets to support a named project (“The Nomad”) • Integrated fine-tuned behavior into downstream agent workflows

2025 - Present

Education

Work History