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Appen
Text
Image
Video
Document
Prompt + Response Writing (SFT)
Classification
Bounding Box
Entity (NER) Classification
TrackingLLM Data Annotation and Prompt Engineering. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, UHRS, and LibreOffice. Education includes Federal University of Technology, Akure (2023) and StartX Academy (2024). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Prompt + Response Writing (SFT), Classification, and Evaluation.
AppenImageBounding BoxClassificationPerformed annotation QA; annotated and organized multimedia data including images and videos for machine-learning training; and labeled character interactions and narrative elements to improve AI-generated storytelling.
VideoEntity (NER) ClassificationMultimedia annotation and narrative-element labeling.
AppenTextEntity (NER) ClassificationCreated and validated trajectories for AI models solving electrical-engineering problems; trained models using Python simulations and algorithms; refined Python automation scripts; performed data annotation and content QA; evaluated AI/LLM outputs and text data; and tracked and validated data remotely using Excel and Google Suite.
TextAI/LLM output evaluation, text annotation, and quality assurance.
AppenTextBounding BoxClassificationData annotation and prompt engineering for LLM projects, including creating prompts and responses, evaluating AI-generated answers, refining over 3,000 submissions, using Python and Bash for automation, designing trajectories, annotating 4,000 UHRS crowd-spam hits in German, Spanish, and English, and evaluating over 10,000 queries for relevance, correctness, harmlessness, and usefulness.
Data Analytics and Data Science
Electrical and Electronics Engineering
Microsoft Excel Specialist
Electrical Engineer
