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Uchechukwu A.

Uchechukwu A.

Independent AI research focused on prompt design, LLM response evaluation, and structured prompt template development

Nigeria flagEnugu, Nigeria

Key Skills

Software

Other
Don't disclose

Top Subject Matter

Artificial intelligence reasoning evaluation and research prompt engineering
AI-assisted research writing and evaluation

Top Data Types

TextText
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Independent AI research focused on prompt design, LLM response evaluation, and structured prompt template development. Core strengths include Other and Don't disclose. Education includes Bachelor of Science, University of Nigeria Nsukka (2030). AI-training focus includes data types such as Text and Document and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Research writing projects emphasizing synthesis and evaluation of AI-generated text outputs

Don't discloseDocumentDocument

The candidate produced research writing outputs by synthesizing information from multiple sources and translating them into clear structured reports. They generated detailed analyses on technology, sciences, ethics, and emerging innovations, which aligns with AI training support through curated, high-quality text artifacts. They reviewed and validated AI-generated responses for usefulness and completeness as part of their prompt design and research workflow. • Synthesis of multi-source information into structured documents • Writing reports and analyses on emerging technologies and ethics • Reviewing AI outputs for completeness and usefulness • Producing education- and research-oriented written materials

Present

Independent AI research focused on prompt design, LLM response evaluation, and structured prompt template development

OtherTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

The candidate designed and tested prompts across multiple AI systems to evaluate reasoning quality, factual accuracy, and instruction-following performance. They compared outputs from different AI models to identify strengths, weaknesses, and consistency patterns for technical, educational, and research-style tasks. They also created structured prompt templates intended to improve AI output reliability for evaluation and generation workflows. • Prompt design and iteration across multiple LLM systems • Evaluation/assessment of responses for accuracy and coherence • Model-to-model comparison to assess performance differences • Development of structural prompts for technical and educational tasks

Present

Education

U

University of Nigeria Nsukka

Bachelor of Science, Medical Radiography and Radiological Sciences

Bachelor of Science
2026 - 2030

Work History

I

Immaculate Heart model secondary school

High School Teacher

Enugu
2023 - 2025