Aone Talent

• Collaborate with stakeholders to understand business requirements and design comprehensive business intelligence solutions • Develop data modes, data integration processes, and data visualization strategies • Analyze large and complex datasets to extract meaningful insights • Identify trends, patterns, and outliers to support data-driven decision-making processes • Design and implement data integration processes from various sources (databases, APIs, flat files, etc.) to create a unified view of the agency’s data • Develop interactive and visually appealing dashboards and reports using MicroStrategy BI to convey insights and Key Performance Indicators (KPIs) to stakeholders • Establish and enforce data governance policies, ensuring data accuracy, consistency, and security • Collaborate with data owners to maintain high data quality standards • Collaborate and communicate with business stakeholders to understand their needs and challenges • Monitor and optimize the performance of BI solutions • Maintain up-to-date documentation for all BI solutions and processes • Track status for all program deliverables, ensuring ownership and accountability for each • Develop accurate weekly and monthly status reports including team activities, risks, issues, progress toward milestones, and decisions.

• This is a remote position. • During this internship, you will play a pivotal role in accelerating a fast-moving project encompassing software stack development, Artificial Intelligence, Computer Vision, and network interoperability. • Duration- 8 weeks (June- early August) • This internship project focuses on continuing the development of an LLM+VLM tool that supports both multi modal content and external enterprise data sources. • The objective is to give users a unified way to ask questions, analyze documents, and build retrieval workflows, whether the data comes from local files, images, scanned documents, and external sources. • The intern(s) will join an existing team to continue the framework that allows the platform to securely connect to external systems. • This includes support for authentication, configuration, connection health checks, source discovery, and document ingestion into existing analysis and RAG pipelines. • The project will emphasize clean architecture so new connectors can be added later with minimal changes to the core platform. • Attention will be given to multi-user and multi-organization requirements such as role-based access control, token-based access, and separation of data between organizations and users. • Because some tasks may take time to complete, the internship will integrate a job management model for long-running operations such as batch analysis, ingestion, and indexing. • This includes thinking about queue visibility, task status, and scalable execution in a multi-user environment. • This project is well-suited for a student interested in AI systems, backend development, API design, multi modal AI, and secure enterprise integration.