Muhyideen A.

Key Skills

Software

Axiom AI

Data Annotation Tech

Mercor

Prodigy

Top Subject Matter

Engineering datasets and technical data analysis

Administrative/technical documentation with accuracy and guideline adherence

Legal Services & Contract Review

Top Data Types

Text

Document

3D Sensor

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI & Data Analysis Projects (data cleaning and accuracy-focused preparation). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Microsoft Excel, MATLAB, and Google Workspace. Education includes Bachelor of Engineering, Bayero University Kano (2023) and High School Diploma, Henas Intl. School (2014). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

NYSC Experience (administrative and technical accuracy-focused documentation)

DocumentPrompt + Response Writing (SFT)

Performed technical documentation and technical writing activities aligned with AI-assisted workflows, emphasizing accuracy and organization. Followed detailed guidelines to ensure outputs met required quality standards for reporting and records. Contributed to team deliverables by maintaining structured documentation practices. • Managed records and documentation • Produced technical reports • Followed quality guidelines for accuracy • Coordinated within teams and met deadlines

Not specified

AI & Data Analysis Projects (data cleaning and accuracy-focused preparation)

Text

Worked on data cleaning, organization, and interpretation as part of AI and data analysis projects, focusing on accuracy and following quality guidelines. Supported evaluation-style tasks by applying attention to detail to assess information quality prior to technical use. Used spreadsheet-based workflows to prepare structured datasets for downstream analysis or training scenarios. • Cleaned and organized engineering datasets • Interpreted technical data outputs • Applied quality guidelines to ensure accuracy • Prepared structured data for AI-assisted workflows

Not specified

Education

Work History