Luis Becerra
@luisbecerra
I design AI agent tasks and evaluation rubrics for reliable model performance.
What I'm looking for
I'm designing multi-step AI agent prompts and binary-scorable evaluation rubrics for Fleet AI's Project Obsidian, using HEART taxonomy and structured review cycles to maintain benchmark quality. At Mercor Intelligence, I evaluate model outputs and provide feedback that supports iterative improvement.
I've also supported construction operations at Metal Drywall System LLC, including metal framing, materials management, and payroll processing, while building customer service and cashier training experience at Burlington Stores. I work bilingually in English and Spanish across technical, field, and customer-facing environments.
Experience
Work history, roles, and key accomplishments
AI Task Designer & Rubric Evaluator
Fleet AI
Jan 2024 - Present (2 years 8 months)
Designed complex multi-step AI agent task prompts with cross-environment data flow and conditional branching logic. Developed binary-scorable rubrics following the HEART taxonomy framework and iterated on task submissions through PM review cycles.
Education
Degrees, certifications, and relevant coursework
Weslaco East High School
High School Diploma, General Studies
2023 -
Currently pursuing a high school diploma with coursework in Anatomy & Physiology.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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