Designing and deploying multi-agent systems for investment research, M&A due diligence screening, and FP&A automation using Python and frameworks like LangChain or CrewAI
Setting up and managing a private cloud environment (AWS or Azure) where all AI workloads run ensuring client data never leaves Tristone’s controlled environment
Building and maintaining an internal knowledge base (vector database) that indexes all past project work and makes it searchable by AI agents and analysts
Integrating AI agents with external financial data sources using controlled API connections with rate limiting and audit logging
Owning the prompt library: write, test, version-control, and continuously improve the prompts used by...