Summary
Paridhika Kayal is an AI/ML research engineer and PhD candidate in Communications at the University of Toronto with 12 years of industry and academic experience bridging research and production systems. Currently at GreenMile AI, she architects LLM-driven recommendation and agentic chat systems—combining vector retrieval, LLM re-ranking, graph-based control logic, and real-time GraphQL grounding—to deliver low-latency, stateful conversational experiences. Her background spans systems and networking (MS, NC State) and large-scale software engineering at Amazon and ServiceNow, giving her a rare blend of deep networking, distributed-systems intuition, and product-focused implementation skills. She has extensive teaching experience across core CS topics, reflecting strong mentorship and communication abilities alongside technical leadership. Notably, she has shipped tool-calling pipelines and frontend-backend synchronized streaming chat interfaces, demonstrating end-to-end ownership from models to user experience.
12 years of coding experience
4 years of employment as a software developer
Master’s Degree, Computer Systems Networking and Telecommunications, Master’s Degree, Computer Systems Networking and Telecommunications at North Carolina State University
Bachelor’s Degree, Computer Science and Engineering, Bachelor’s Degree, Computer Science and Engineering at International Institute of Information Technology Hyderabad (IIITH)
Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering at University of Toronto
English