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D
Daniel E.

Daniel E.

AI Systems Engineer | LLM & Code Evaluation Expert

Nigeria flagLagos, Nigeria

Key Skills

Software

No software listed

Top Subject Matter

Software Engineering
AI/ML
Python
JavaScript
React

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming
DocumentDocument

Top Task Types

RLHFRLHF
Computer Programming/CodingComputer Programming/Coding
Text GenerationText Generation
Function CallingFunction Calling
ClassificationClassification
Evaluation/RatingEvaluation/Rating

Freelancer Overview

I am a Full-Stack AI Systems Engineer with 6+ years building production applications and 2+ years specializing in LLM integration and AI automation. I architected an AI Email Classification System using Python, REST APIs, and n8n that leverages LLM APIs with prompt engineering and structured JSON validation to eliminate manual triage, reducing processing time by 60%. My AI training experience includes: designing RLHF-style evaluation workflows to assess and rank LLM outputs for accuracy and safety, building prompt engineering pipelines for structured response generation, implementing validation layers to prevent hallucinated data from corrupting training datasets, and debugging AI-generated code. I have hands-on experience with OpenAI/Anthropic APIs, few-shot learning, and creating feedback loops to improve model performance. I regularly review Python, JavaScript, and React codebases for AI integration bugs, security issues, and best practices.

Labeling Experience

Yes, I have direct AI training and data labeling experience

Yes, I have direct AI training and data labeling experience. In my SmartMate AI Platform project, I designed and executed RLHF-style workflows where I evaluated and ranked LLM-generated responses for accuracy, safety, and instruction-following. I created labeling guidelines for structured JSON outputs, built validation scripts to catch hallucinated or non-compliant data, and manually reviewed 500+ AI responses to improve prompt performance. Additionally, I have experience auditing Python/JavaScript code generated by AI models, identifying bugs, security flaws, and logic errors, then providing corrected examples to retrain the workflow. My background combines hands-on data labeling with the engineering skills to automate and scale AI training pipelines.

Not specified

Education

1

1

1. B.Sc. Chemical Engineering, University of Benin, 2018-2024 2. ALX Software Engineering Program, 2022-2023 - Full-Stack Development, Backend Specialization 3. Self-directed AI/LLM Engineering - OpenAI API, Anthropic Claude, Prompt Engineering, RLHF Workflows, n8n Automation, 2023-Present

1. B.Sc. Chemical Engineering, University of Benin, 2018-2024 2. ALX Software Engineering Program, 2022-2023 - Full-Stack Development, Backend Specialization 3. Self-directed AI/LLM Engineering - OpenAI API, Anthropic Claude, Prompt Engineering, RLHF Workflows, n8n Automation, 2023-Present
Not specified

Work History

C

Company not specified

AI Systems Engineer | SmartMate AI Platform | 2024 - Present Architected and deployed production AI automation system f

Location not specified
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