Akinloye Josiah

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Task Types

Point/Key Point

Classification

Fine-tuning

Function Calling

Freelancer Overview

With a strong background in AI-driven solutions, biomedical technology, and software engineering, I have extensive experience working with data-centric projects, including computer vision, natural language processing (NLP), and predictive analytics. My roles as CTO and founder have involved overseeing the development of AI-powered health platforms, diagnostic tools, and voice-controlled assistants, where I managed teams responsible for data annotation, model training, and quality assurance. I am proficient in Python and have applied prompt engineering and data labeling techniques to enhance machine learning models for both structured and unstructured data. My work spans IoT, healthcare, and smart automation, giving me hands-on expertise with diverse data types and annotation workflows essential for building robust AI applications. I am passionate about leveraging accurate, well-labeled datasets to drive innovation in emerging technologies.

Labeling Experience

Smart Home AI Assistant Intent Labeling & Knowledge Base Structuring

Label StudioTextPoint Key PointClassification

Worked on a smart home AI assistant and edge-AI automation project involving the preparation, structuring, and labeling of text data used for intent recognition, command classification, workflow mapping, and domain-specific AI responses. The project focused on organizing user commands, smart device actions, automation scenarios, and internal product/support knowledge into consistent labeled formats that could be used for AI assistant improvement, fine-tuning preparation, and retrieval-based systems. Specific tasks included: labeling and grouping voice/text commands by intent classifying smart home actions and automation scenarios mapping prompts to expected responses and actions structuring technical and support content for AI knowledge base use reviewing ambiguous examples and refining label consistency checking outputs for accuracy, relevance, and taxonomy alignment

Worked on a smart home AI assistant and edge-AI automation project involving the preparation, structuring, and labeling of text data used for intent recognition, command classification, workflow mapping, and domain-specific AI responses. The project focused on organizing user commands, smart device actions, automation scenarios, and internal product/support knowledge into consistent labeled formats that could be used for AI assistant improvement, fine-tuning preparation, and retrieval-based systems. Specific tasks included: labeling and grouping voice/text commands by intent classifying smart home actions and automation scenarios mapping prompts to expected responses and actions structuring technical and support content for AI knowledge base use reviewing ambiguous examples and refining label consistency checking outputs for accuracy, relevance, and taxonomy alignment

2023 - 2025

Education

Work History