For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
C
Clint Crocker

Clint Crocker

Principal Engineer — AI Evaluation & Platform Systems

USA flagArkadelphia, Usa
$45.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Machine Learning / AI Systems
Software Engineering
Data / Analytics Systems

Top Data Types

TextText
DocumentDocument

Top Task Types

Fine-tuningFine-tuning

Freelancer Overview

Principal Architect (Platform AI tooling and workflow design). Brings 23+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning.

IntermediateEnglish

Labeling Experience

Principal Architect (Platform AI tooling and workflow design)

Fine Tuning
I designed and implemented platform and tooling for AI-enabled workflows that included contextual retrieval and RAG pipelines. My role involved building systems that allowed for iterative fine-tuning and AI-assisted development for various domain-specific applications. I maintained and improved these systems to enhance data quality and engineering productivity. • Developed and tested AI-assisted features for internal and open-source applications. • Built and maintained contextual retrieval pipelines for improved output relevance. • Applied fine-tuning procedures to adapt AI behaviors for specific use cases. • Evaluated AI workflow performance and iteratively improved training processes.

I designed and implemented platform and tooling for AI-enabled workflows that included contextual retrieval and RAG pipelines. My role involved building systems that allowed for iterative fine-tuning and AI-assisted development for various domain-specific applications. I maintained and improved these systems to enhance data quality and engineering productivity. • Developed and tested AI-assisted features for internal and open-source applications. • Built and maintained contextual retrieval pipelines for improved output relevance. • Applied fine-tuning procedures to adapt AI behaviors for specific use cases. • Evaluated AI workflow performance and iteratively improved training processes.

2024 - Present

Education

T

Tarrant County College

None, Business Information Systems

None
1996 - 1997

Work History

G

GeekSuite R&D

Principal Architect

Dallas
2024 - Present
I

Ignite Sales

Director of Engineering

Dallas
2020 - Present