Saeed Muhammad Rabiu S.

Key Skills

Software

Don't disclose

Top Subject Matter

AI research summarization and document insight extraction

Document data extraction from PDFs

Generative visual asset creation

Top Data Types

Document

Image

Text

Top Task Types

Text Summarization

Text Generation

Freelancer Overview

AI Research Assistant (Claude-based report summarization). Core strengths include Claude, Don't disclose, and Midjourney. Education includes Bachelor of Science, Skyline University Nigeria (2025). AI-training focus includes data types such as Document, Image, and Text and labeling workflows including Text Summarization, Entity (NER), and Text Generation.

Labeling Experience

Automated Content System (scalable prompt workflow)

TextText Generation

Built a scalable prompt workflow generating 30+ high-quality posts per hour across multiple brand voices. The labeling/training aspect focuses on producing consistent, structured text outputs using repeatable prompt templates. The system reduces manual workload while maintaining quality through prompt engineering and workflow automation. • Developed prompt workflows to generate posts at high throughput (30+ per hour). • Enforced different brand voice styles through prompt conditioning. • Standardized output structure for reliability across generated posts. • Reduced manual workload by approximately 90% through automation.

2025 - Present

Visual Asset Automation (Midjourney + Canva AI)

ImageText Generation

Created AI-powered pipelines using Midjourney and Canva AI to generate product mockups, branding assets, and marketing visuals. The workflow centers on prompt-to-image generation and iterative refinement to meet visual requirements. Outputs served as labeled creative assets for consistent downstream use in marketing and product presentation contexts. • Crafted prompts describing products, styles, and branding attributes. • Generated and reviewed visual variations to select suitable assets. • Iterated prompt parameters to improve brand consistency and quality. • Compiled generated visuals into usable marketing and mockup formats.

2025 - Present

Document Data Extraction (unstructured PDF to structured tables)

Don't discloseDocument

Designed AI workflows to extract structured tables and insights from unstructured PDF documents. The labeling work focuses on turning document content into machine-readable fields that support research and analysis tasks. Implemented prompt-based extraction logic to identify relevant information within varying document layouts. • Extracted structured table data from unstructured PDF content. • Identified and captured key informational elements needed for downstream analysis. • Used prompt-driven instructions to guide extraction behavior across documents. • Produced consistently formatted outputs to support research workflows.

2025 - Present

AI Research Assistant (Claude-based report summarization)

DocumentText Summarization

Created an AI research-assistant workflow that converts 50+ page reports into concise executive summaries. The process emphasizes extracting key insights and presenting them in a structured, decision-ready format using LLM outputs. Iteratively improved prompts and summarization settings to increase clarity and speed of downstream analysis. • Ingested long-form report content and extracted salient themes and key points. • Generated summary text suitable for executives and quick decision-making. • Tuned prompt instructions to maintain consistency across different report types. • Validated output quality by comparing extracted insights against the source reports.

2025 - Present

Education

Work History