Kamaldeen Ibrahim
I’m Kamaldeen Ibrahim, a multi-modal AI evaluation and UI/UX optimization specialist with a strong focus on LLM and multimodal prompt workflow quality.
About
I’m Kamaldeen Ibrahim, a multi-modal AI evaluation and UI/UX optimization specialist with a strong focus on LLM and multimodal prompt workflow quality. I build and audit evaluation pipelines, run safety and alignment testing (including red-teaming and output quality audits), and use rigorous logic to catch failure modes like misalignment, hallucinations, and edge-case errors.
I also support product experiences by applying frontend/UI accessibility checks, responsive layout debugging, and structured guideline enforcement—so evaluations translate into measurable improvements. From dataset engineering and labeling quality assurance to prompt engineering, I’m hands-on, deadline-driven, and comfortable working fully remote with clear, repeatable processes.
- 8 years' experience
- Joined October 2026
Languages
- EnglishFluent
- YorubaFluent
Industry experience
- Computers & Electronics
- Software & Internet
- Education
- Professional Services
- Media & Entertainment
Work experience· 6 roles
Reviewed annotation outputs from junior labelers while maintaining 98%+ accuracy standards across image and text classification tasks. Flagged edge cases and systemic labeling errors to improve overall dataset quality.
Deployed functional improvements for client web layouts, tracking cross-browser behavior to verify alignment with strict dynamic standards. Conducted UI accessibility audits across mobile and desktop environments, debugging interface flaws and ensuring responsive layout stability across breakpoints.
Designed and tested 150+ multimodal prompt variations to ensure generative systems strictly adhered to detailed constraints across visual styling, metadata parameters, and text boundaries. Isolated and logged recurring systemic errors, documenting text-to-image drift patterns to establish fixed baselines for training improvements. Authored repeatable instruction-following workflows that reduced prompt iteration time and increased accuracy under rigid test constraints.
Education
Certifications and awards· 6
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