Emmanuel A.

Key Skills

Software

Axiom AI

Top Subject Matter

AI automation workflow evaluation and deployment readiness

LLM evaluation

prompt engineering

Top Data Types

Text

Audio

Image

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI Automation Specialist (Axiom AI) - client workflow assessment and AI deployment enablement. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Axiom AI, N, and A. Education includes Bachelor of Science, Carnegie Mellon University (2017). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Automation Specialist (Axiom AI) - client workflow assessment and AI deployment enablement

Axiom AIText

Evaluated prospective clients’ workflows and AI integration readiness by analyzing operational criteria and determining whether processes met technical thresholds for deployment. Built and demonstrated proof-of-concepts to validate automation feasibility and guide decisions toward adoption of AI-driven systems. Provided structured technical feedback to address lead questions, edge cases, and performance concerns before escalation to engineering teams or production planning. • Assessed current client workflows against AI integration criteria • Coordinated follow-ups, proof-of-concepts, and technical Q&A • Identified edge cases and requirements affecting AI success • Supported solution architects/senior engineers with readiness assessments

2023 - 2025

AI Evaluation Specialist (Garium Inc) - AI model benchmarking and prompt-based quality evaluation

TextPrompt + Response Writing (SFT)

Benchmarked and tested AI models to assess conversational quality against strict evaluation criteria. Engineered targeted prompt sets to evaluate accuracy, safety, and alignment of model outputs, ensuring baseline quality thresholds were met before clearing models for production or escalation. Monitored ongoing model training cycles by tracking performance metrics and providing structured feedback to accelerate optimization and refinement. • Performed rigorous AI model testing and benchmarking • Wrote/evolved prompt sets for quality, safety, and alignment checks • Tracked performance metrics during model training cycles • Reported edge cases and guided optimization adjustments

2020 - 2022

Education

Work History