In this confidential project, I played a pivotal role in developing an advanced, multi-agent AI infrastructure for real-time financial analysis. The initiative focused on harnessing predictive insights by integrating diverse financial data sources, setting the stage for dynamic and data-driven decision-making in an AI-powered hedge fund environment.

Key Responsibilities & Achievements

Data Integration:

• Python Library Development:
  Engineered a robust Python library to seamlessly connect with leading financial data providers, ensuring smooth integration with platforms such as Perigon, Polygon.io, and FactSet.
• Web Automation & ORM:
  Implemented efficient web automation for data extraction and established ORM functionality for streamlined database management.
• AI-Driven Analysis:
  Developed a network of AI agents, including a central routing agent that intelligently delegated tasks and aggregated responses, enhancing the overall financial analysis capabilities.

API Development:

• FastAPI-Based API:
  Designed and optimized a secure FastAPI-based API to facilitate reliable data access and support critical system functionalities.
• Feature-Rich Integration:
  Incorporated innovative features such as real-time news feed retrieval, AI-powered chat interactions, and a user feedback mechanism.
• Security & Data Management:
  Integrated AWS Cognito for robust authentication and utilized PostgreSQL to ensure efficient data storage and retrieval.

Automated Data Pipelines:

• ETL Automation:
  Developed automated ETL pipelines using AWS Step Functions and the Serverless Framework, significantly improving data processing efficiency.
• Revenue Analysis Automation:
  Spearheaded the automation of revenue breakdown analysis, incorporating custom data extraction, mapping, and normalization techniques for enhanced aggregation.

Additional Contributions:

• Performance & Security Enhancements:
  Implemented optimizations across data extraction processes, API interactions, and pipeline components to boost performance and security.
• Modular Architecture:
  Established a scalable and modular system architecture that supports seamless data integration and continuous AI application development.
• Advanced AI Workflows:
  Developed AI-driven workflows for financial content processing and summarization, further elevating the system's analytical capabilities.

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Note: Due to the sensitive nature of this project, all specific details have been kept under strict confidentiality. The focus here is on demonstrating the high-impact contributions and innovative technical solutions implemented throughout the engagement.

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