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M

Mfreke U.

AI Evaluation Practice (Self-Directed Projects)

Nigeria flagUyo, Nigeria

Key Skills

Software

Other
RemotasksRemotasks

Top Subject Matter

AI response evaluation and quality assurance
Software and application testing related to AI/UX evaluation
Python programming practice for AI/data handling foundations

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Question AnsweringQuestion Answering
Text SummarizationText Summarization
Text GenerationText Generation
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

AI Evaluation Practice (Self-Directed Projects). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Currently Studying, N/A (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Python Programming Projects

Other

Developed basic Python programs to support problem-solving and foundational data handling practice. Debugged and refined code by applying logical reasoning and iterative testing of program behavior. Focused on improving code efficiency and readability through repeated practice. • Basic Python development • Debugging and code optimization • Data handling exercises • Writing clear, efficient code

Present

Website & Application Testing (Practice Experience)

OtherTextText

Tested websites and applications by evaluating usability, functionality, bugs, and performance indicators. Analyzed system behavior under different conditions to identify reliability or edge-case problems. Produced error reports and suggested improvements aimed at enhancing user experience quality. • Usability checks • Bug and error reporting • Performance assessment • Behavior analysis across conditions

Present

AI Evaluation Practice (Self-Directed Projects)

OtherTextText

Evaluated AI-generated responses with a focus on correctness, clarity, and relevance to the user’s request. Checked outputs for inconsistencies, inaccuracies, and potential biases that could reduce trustworthiness. Recorded structured feedback to support iterative improvements in response quality and overall user experience. • Correctness validation • Clarity and relevance assessment • Bias and inconsistency identification • Documentation of evaluation feedback

Present

Education

N

N/A

Currently Studying, Computer Science

Currently Studying
2022

Work History

I

Independent Software Developer

Software Engineer

Uyo
2023 - 2026