Apoorva Jaiswal is an Applied AI Lead at JPMorgan Chase focused on translating research into production systems by developing graph machine learning (graph ML) and LLM-powered agentic systems that serve Global Banking. She began her career at JPMC India in 2018 as a Software Engineer, building a strong foundation in systems and software design. In 2020, she pivoted to the India-based AI team, architecting cloud infrastructure to deploy ML models at scale before moving into hands-on model development. In 2023, she relocated to the US-based AI team and advanced into her current leadership role, leading cross-functional delivery of graph ML and agentic AI capabilities. Apoorva is a strong advocate of continuous learning. She earned her MS in Computer Science from the University of Massachusetts Amherst while working full-time. She contributes to the broader AI community through mentorship, teaching and talks: she has led workshops at the Grace Hopper Celebration on LangChain-based multimodal workflows (2024) and on LangGraph-based multi-agent workflows (2025), and has spoken at AI meetups in Silicon Valley. She organizes AI Meetups at the Silicon Valley Tech Center, JPMC and is a BobaTalks mentor. She holds patents in AI/ML and brings a global perspective from building and scaling production AI systems across India and the United States.