PEOPLE / EXPERTISE / COLLABORATION
AIC brings together architecture, AI research, data engineering, computing, human interaction, and industry applications.
Team responsibilities align with the ecosystem plan: shared compute, a data marketplace, collaborative AI tasks, and community participation.
The profiles describe areas of contribution and development responsibility. They do not establish independently verified credentials or completed platform delivery.
Founder
Ecosystem architecture & technical direction
Lead the technical direction of an open AI ecosystem connecting compute, data, models, and applications. Guide how distributed infrastructure, contribution incentives, and DAO governance fit together.
Operation Director
Ecosystem operations & community coordination
Coordinate platform planning, team operations, and community participation. Organize the processes that connect contributors, application projects, and ecosystem governance.
Data Scientist
Data analysis & financial AI applications
Develop data analysis and model evaluation methods for AI tasks, including financial applications. Help define dataset quality and contribution criteria for the data market and crowdsourcing platform.
Computing Scientist
Distributed compute & task scheduling
Design computing workflows that connect distributed resources with AI training and inference tasks. Develop task scheduling and service interfaces to support collaboration across network participants.
AI Scientist
Applied AI models & task evaluation
Explore AI models and evaluation methods for healthcare, education, and other application domains. Shape task requirements and model quality criteria for developers contributing to the ecosystem.
AI Engineer
Model services & application development
Develop model integration, retrieval workflows, and inference service designs. Connect AI capabilities with application interfaces and the platform’s task delivery process.
Sustainability Scientist
Sustainability data & AI applications
Explore AI applications for environmental monitoring and sustainable resource use. Define relevant datasets, task objectives, and impact measures for ecosystem contributors.
Data Engineer
Data pipelines & contributor data rights
Design data pipelines that support sharing, preparation, and reuse across AI tasks. Connect data provenance, access permissions, and quality checks with the data market’s contribution records.
Data Engineer
Distributed services & compute integration
Plan the integration of computing resources, data services, and machine learning workflows. Develop service monitoring and resource management approaches for a distributed AI platform.
IoT Engineer
Edge AI & connected applications
Develop designs for connecting devices and edge computing with AI applications. Translate local sensing and inference needs into tasks that can work with the wider ecosystem.
IoT Engineer
Computer vision & device integration
Explore computer vision workflows for connected devices and real-world applications. Define hardware requirements and evaluation methods for device-based AI tasks.
IoT Engineer
Sensor data & connected resources
Design sensor integration and data collection workflows for connected applications. Support traceable device data that contributors can use in the data market and AI task platform.
Business Director
Ecosystem partnerships & application demand
Develop collaboration opportunities with enterprises, developers, and application partners. Translate demand in finance, healthcare, education, and other sectors into ecosystem use cases and project requirements.
AIoT Director
AIoT applications & ecosystem integration
Coordinate AIoT application planning across devices, data, and distributed computing. Guide how connected projects can contribute resources and use the ecosystem’s AI services.
Human-Computer Interaction Director
Participant experience & application interfaces
Design accessible experiences for contributors, developers, and application users. Make data permissions, task participation, contribution rewards, and DAO decisions understandable through clear interfaces.
AI Research Director
Decentralized models & collaborative AI research
Lead research into AI model development and optimization within a distributed ecosystem. Guide model collaboration, task evaluation, and the connection between research outputs and practical applications.
Big Data Director
Data sovereignty & distributed data systems
Guide data architecture for the decentralized data market and AI ecosystem. Develop approaches to distributed storage, data analysis, and permission-based sharing that support contributor control over data.
Biointelligence Director
Biointelligence & healthcare applications
Explore how AI models and shared research workflows can support bioinformatics and healthcare applications. Define domain requirements and data stewardship approaches for collaboration with ecosystem developers.
BUILD THE ECOSYSTEM
Bring a compute resource, a permitted dataset, an AI task, or an application need. Tell us what you can contribute and what a useful result would look like.
Email uscontact@ai-coin.tech
Read the framework