Wisdom E.

Key Skills

Software

AWS SageMaker

Clickworker

CrowdSource

Data Annotation Tech

Deep Systems

Google Cloud Vertex AI

HiveMind

Label Studio

Mercor

Micro1

Mindrift

OneForma

Prodigy

Remotasks

Roboflow

Toloka

V7 Labs

Top Subject Matter

Healthcare (HIPAA)

Legal/Cybersecurity/Marketing professional services

Business Q&A

Top Data Types

Document

Image

Text

Top Task Types

Segmentation

Classification

Object Detection

Text Generation

Text Summarization

Transcription

Data Collection

Freelancer Overview

AI Systems Builder & LLM Evaluator | OFFSITE IT (AI data evaluation and labeling-adjacent output rating). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Mechanical Engineering, University Of Ibadan (2021). AI-training focus includes data types such as Document and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Systems Builder & LLM Evaluator | OFFSITE IT (AI data evaluation and labeling-adjacent output rating)

Document

Evaluated and rated LLM responses for quality, accuracy, and instruction-following behavior across multiple local model variants. Assessed AI assistant outputs for tone, factual grounding, and adherence to task instructions in real-world business and professional services contexts. Built and tested RAG document ingestion workflows to support retrieval-augmented performance evaluation. • Compared response quality and accuracy across Ollama-hosted models (qwen2.5:14b, Mistral, Llama variants) • Validated model behavior on multi-turn tool-use and conversation pipelines via agent frameworks • Assessed Telegram-integrated assistant output quality and provided refinement feedback • Defined evaluation criteria for HIPAA-compliant private medical record analysis (CMV Law) document comprehension and extraction accuracy

2024 - Present

Fractional CTO/CIO/CISO Consultant | OFFSITE IT (LLM evaluation and labeling-adjacent data quality work)

Document

Deployed and evaluated local large language models for output quality, accuracy, and instruction-following across consulting use cases. Built and tested AI agent pipelines for multi-turn conversations and retrieval-augmented document ingestion to support controlled evaluation. Designed HIPAA-compliant evaluation approaches for medical document comprehension and extraction accuracy. • Compared response quality and correctness across Ollama-hosted model variants • Evaluated AI-generated content for tone, factual grounding, and instruction adherence in legal, cybersecurity, and marketing contexts • Configured and assessed a Telegram-integrated AI assistant for iterative business Q&A refinement • Established evaluation criteria for CMV Law medical record analysis proof-of-concept

2018 - Present

Education

Work History