Edet A.

Key Skills

Software

No software listed

Top Subject Matter

AI reasoning evaluation and enterprise dataset annotation

Data governance validation and workflow/process mapping impacting AI/automation outputs

Top Data Types

Text

Document

Top Task Types

Tracking

RLHF

Freelancer Overview

Business Systems Analyst & AI Evaluator (AI prompt engineering, dataset labeling/annotation, and evaluation/UAT). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Microsoft Copilot. Education includes Master of Engineering, University of Regina. AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Tracking.

Labeling Experience

Business Systems Analyst & AI Evaluator - TheSprintLab Digital

DocumentTrackingRLHF

Worked as a Business Systems Analyst and AI Evaluator, focusing on evaluating AI reasoning quality and aligning outputs with business constraints. Translated complex requirements into structured data models and authored technical documentation, SOPs, and user guides. Coordinated Agile delivery, including user acceptance testing and backlog management, to improve system reliability and reduce defects. • Engineered and stress-tested prompts using Microsoft Copilot and AI analysis tools. • Performed requirements elicitation, process mapping, and gap analysis to annotate and label enterprise datasets. • Coordinated and executed structured UAT, identifying edge cases and anomalies. • Liaised between business stakeholders and engineering teams while managing Jira backlogs and sprints.

2024 - Present

Business Systems Analyst & AI Evaluator (AI prompt engineering, dataset labeling/annotation, and evaluation/UAT)

Text

Engineered and stress-tested AI prompts using Microsoft Copilot to evaluate model reasoning, structural formatting, factual accuracy, and alignment with business constraints. Reviewed, labeled, and annotated enterprise datasets using requirements elicitation, process mapping, and gap analysis to reduce requirement gaps. Coordinated and executed rigorous UAT to identify algorithmic edge cases and system anomalies affecting post-release defect rates. • Prompt evaluation and business-constraint alignment testing • Dataset review with labeling/annotation for enterprise requirements • UAT execution focused on edge cases and anomaly detection • Documentation and stakeholder liaison to validate outputs

2024 - Present

Business Process Analyst (data validation and governance for system correctness)

Text

Performed continuous validation, data curation, and governance activities to maintain data accuracy and reporting integrity across corporate systems. Conducted root cause analysis and documented recurring system discrepancies and logical errors. Facilitated structured process mapping workshops to redesign workflows and improve system reliability and data quality. • Data validation and curation to improve system output correctness • Root cause analysis documentation for logical errors • Process mapping workshop facilitation for workflow redesign • Governance-focused maintenance of reporting integrity

2022 - 2024

Education

Work History