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Remilekun A.

Remilekun A.

Agentic Architect & BlockTraceX (Digital Brand) — AI automation workflow and prompt engineering for visual generation

Nigeria flagIkorodu, Nigeria

Key Skills

Software

Don't disclose
Other

Top Subject Matter

AI automation for image generation and analytics
Software engineering training with AI integration

Top Data Types

ImageImage

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Fine-tuningFine-tuning

Freelancer Overview

Agentic Architect & BlockTraceX (Digital Brand) — AI automation workflow and prompt engineering for visual generation. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT) and Fine-tuning.

Labeling Experience

Software Engineering & Web Development Training (Present)

OtherFine-tuningFine-tuning

Completed ongoing software engineering and AI integration training to support development of AI-enabled applications. Focused on system design and AI integration concepts that can be applied to training or tutoring data pipelines. Built foundational coding skills needed to operationalize AI models within applications. • Studied architecture and system design for AI integration • Practiced implementing AI features in software projects • Learned principles for preparing and using AI data within apps • Applied full-stack development concepts to support AI workflows

2026 - Present

Agentic Architect & BlockTraceX (Digital Brand) — AI automation workflow and prompt engineering for visual generation

Don't discloseTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Developed and iterated AI automation workflows for generating style-specific visual outputs using advanced AI image generation tools. Applied prompt engineering practices to guide model outputs toward tactile-realism and fine-art print aesthetics. Performed workflow setup and validation to support repeated generation and downstream use. • Defined target aesthetic styles and generation constraints in prompts • Built reusable agentic/automation workflows for visual generation • Conducted iterative testing to improve output consistency • Used analytics to inform experimentation and selection of best-performing prompts

2024 - Present

Education

C

coursea

m.sc, computer science

m.sc
2021 - 2026

Work History

S

Self-Employed

Freelance Software Developer and Technical Consultant

Ikorodu
2024 - Present