Mukhtar B.

Key Skills

Software

Other

Mindrift

Top Subject Matter

LLM evaluation and prompt testing

Operational and laboratory data quality assessment

Legal Services & Contract Review

Top Data Types

Text

Document

Image

Top Task Types

RLHF

Classification

Evaluation/Rating

Question Answering

Text Generation

Text Summarization

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

AI and Machine Learning enthusiast with a background in Food Engineering and hands-on experience in Python, data analysis, and AI-related workflows. Skilled in problem-solving, technical research, workflow evaluation, and analytical thinking, with practical experience using libraries such as Pandas, NumPy, and scikit-learn. Experienced in evaluating structured information, maintaining technical documentation, and working with detail-oriented tasks that require consistency and accuracy. Recently focused on AI training, prompt evaluation, and machine learning projects through self-directed learning and Kaggle coursework. Familiar with AI response evaluation, data annotation, model testing, and prompt engineering concepts. Strong fast-learning ability, attention to detail, and excellent written English communication skills, with a growing interest in generative AI, cybersecurity, and remote AI training opportunities.

Labeling Experience

Machine Learning Learner / AI Projects Contributor (Self-Directed Projects)

Don't discloseText

Evaluated AI-generated responses for clarity, consistency, instruction-following, and reasoning quality across different prompt scenarios. Performed prompt engineering and LLM behavior testing to compare response quality under varying instructions. Conducted analytical review and quality assessment of generated outputs using self-directed evaluation workflows. • Assessed accuracy and coherence of AI responses • Checked instruction adherence and consistency • Tested prompts across multiple AI interaction tasks • Applied structured analysis to QA findings

2026 - Present

Search Evaluation & Content Quality Assessment

TextRLHF

Performed structured evaluation of search results and AI-generated content to assess relevance, clarity, usefulness, and instruction alignment. Reviewed outputs using analytical reasoning and quality assurance principles to identify inconsistencies, improve response quality, and maintain evaluation accuracy. Worked with structured review processes involving text comparison, ranking quality assessment, and response validation while maintaining attention to detail and documentation consistency.

2025 - Present

Image Annotation & Visual Quality Evaluation

ImageClassification

Worked on image-focused AI evaluation and annotation practice tasks involving visual content review, image categorization, and quality assessment. Performed detailed image analysis by identifying patterns, inconsistencies, and relevant visual information while maintaining accuracy and annotation consistency. Applied attention to detail and structured review processes to support image labeling workflows and improve dataset reliability for AI training purposes. Practiced evaluating image relevance, classification quality, and instruction adherence across different annotation scenarios.

2025 - Present

AI Response Evaluation & Prompt Testing

TextRLHF

Worked on self-directed AI training and machine learning projects focused on AI response evaluation, prompt testing, structured data analysis, and model assessment. Tasks included reviewing AI-generated outputs for accuracy, clarity, instruction-following, consistency, and reasoning quality. Performed prompt testing across different scenarios to evaluate response behavior and improve output reliability. Completed practical machine learning exercises using Python, Pandas, NumPy, and scikit-learn through Kaggle coursework. Worked on data preprocessing, model validation, and classification tasks while maintaining strong attention to detail and quality assurance standards.

2025 - Present

Education

Work History