Apoorva Jaiswal builds agentic AI systems and graph machine learning models for global banking at JPMorgan Chase. She began her career as a software engineer in India before moving into AI infrastructure, eventually leading her current US-based applied AI team.
She focuses on translating AI research into tangible production workflows. Apoorva frequently teaches workshops on multi-agent systems, tackling how to build robust context preservation and error recovery using frameworks like LangChain and LangGraph.
Outside of deploying models at scale, she organizes tech meetups in Silicon Valley and mentors through BobaTalks.