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D

Dwayne Curry

AI Senior Product Manager, Supply Chain Platforms – Data Labeling and Evaluation (Proximo Spirits)

USA flagCincinnati, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

Supply Chain AI
Automation Domain Expertise
Decisioning Domain Expertise

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI Senior Product Manager, Supply Chain Platforms – Data Labeling and Evaluation (Proximo Spirits). Brings 14+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Business Administration, University of the Cumberlands (2026) and Master of Business Administration, Western Governors University (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Expert

Labeling Experience

AI Senior Product Manager, Supply Chain Platforms – Data Labeling and Evaluation (Proximo Spirits)

Text
I defined evaluation criteria and output quality standards for AI-driven planning and forecasting recommendations, iterated on system inputs, validation logic, and exception handling to improve decision accuracy, and managed human-in-the-loop escalation for supply chain decisioning AI. Human review guardrails and validation thresholds were built into workflows to determine when escalation or exception handling was necessary. I translated enterprise operational problems into structured AI requirements and ensured clear, actionable product documentation supported data and workflow labeling needs. • Owned evaluation standards for automated AI output in operational workflows • Designed and monitored HITL boundaries for AI recommendations and exception handling • Created and iterated on input/output validation rules and error recovery logic • Wrote detailed documentation to support accurate AI workflow labeling

I defined evaluation criteria and output quality standards for AI-driven planning and forecasting recommendations, iterated on system inputs, validation logic, and exception handling to improve decision accuracy, and managed human-in-the-loop escalation for supply chain decisioning AI. Human review guardrails and validation thresholds were built into workflows to determine when escalation or exception handling was necessary. I translated enterprise operational problems into structured AI requirements and ensured clear, actionable product documentation supported data and workflow labeling needs. • Owned evaluation standards for automated AI output in operational workflows • Designed and monitored HITL boundaries for AI recommendations and exception handling • Created and iterated on input/output validation rules and error recovery logic • Wrote detailed documentation to support accurate AI workflow labeling

2025 - Present

Senior Product Manager, Prompt Engineering & Automation (Valor Victoria)

TextPrompt Response Writing SFT
I owned prompt engineering and system behavior definition for AI-enabled automation workflows focused on classification and conversational agent tasks. I crafted structured input context, defined output format expectations, and produced detailed escalation logic for common failures, optimizing prompt-response pairs to improve automated task resolution. Continuous iteration of system logic and agent behaviors fueled performance improvements and reliable evaluation feedback loops. • Wrote, refined, and validated prompts and output formats for AI workflows • Engineered escalation and fallback logic for ambiguous or failed cases • Prototyped classification patterns and performed few-shot tuning for specific tasks • Developed and tracked metrics supporting robust LLM evaluation

I owned prompt engineering and system behavior definition for AI-enabled automation workflows focused on classification and conversational agent tasks. I crafted structured input context, defined output format expectations, and produced detailed escalation logic for common failures, optimizing prompt-response pairs to improve automated task resolution. Continuous iteration of system logic and agent behaviors fueled performance improvements and reliable evaluation feedback loops. • Wrote, refined, and validated prompts and output formats for AI workflows • Engineered escalation and fallback logic for ambiguous or failed cases • Prototyped classification patterns and performed few-shot tuning for specific tasks • Developed and tracked metrics supporting robust LLM evaluation

2022 - 2024

AI Senior Product Manager II, Evaluation and Labeling Frameworks (Great American Insurance)

Text
I built and maintained evaluation frameworks for automated AI-powered underwriting engine outputs and intelligent workflow automation systems in regulated insurance environments. I defined accuracy, business impact, and quality metrics for automated decisions and iterated on risk scoring logic and input features. The system escalated edge cases to human review through predefined guardrails, ensuring safe AI operation in high-stakes underwriting. • Created HITL guardrails for AI underwriting engine recommendations • Kept evaluation and output quality frameworks current and actionable • Partnered with Legal/Compliance to support regulatory-aligned data output • Iterated on system rules based on evaluation metrics and labeling results

I built and maintained evaluation frameworks for automated AI-powered underwriting engine outputs and intelligent workflow automation systems in regulated insurance environments. I defined accuracy, business impact, and quality metrics for automated decisions and iterated on risk scoring logic and input features. The system escalated edge cases to human review through predefined guardrails, ensuring safe AI operation in high-stakes underwriting. • Created HITL guardrails for AI underwriting engine recommendations • Kept evaluation and output quality frameworks current and actionable • Partnered with Legal/Compliance to support regulatory-aligned data output • Iterated on system rules based on evaluation metrics and labeling results

2019 - 2022

Education

W

Western Governors University

Master of Business Administration, Finance

Master of Business Administration
2025 - 2025
U

University of the Cumberlands

Doctor of Business Administration, Strategic Leadership

Doctor of Business Administration
2026

Work History

P

Proximo Spirits

AI Senior Product Manager, Supply Chain Platforms

Cincinnati
2025 - Present
V

Valor Victoria

Senior Product Manager, Platform & Integrations

Cincinnati
2022 - 2024