Yukti Lnu is a Lead Software Engineer and AI innovator specializing in Agentic AI, AI/ML systems, cybersecurity, and cloud-native enterprise architecture. With deep expertise in .NET (Core/6+), C#, React, and Microsoft Azure, she designs and delivers scalable, secure, full-stack solutions that integrate machine learning models, LLM orchestration, and autonomous Agentic AI workflows into production-grade environments. Her work focuses on building intelligent systems that combine multi-model reasoning, secure API ecosystems, and Zero-Trust security principles to drive operational efficiency, risk intelligence, and data-driven decision-making—particularly within regulated industries such as insurance and healthcare.

A strong advocate for responsible and secure AI deployment, Yukti emphasizes governance, compliance alignment (including HIPAA and NIST CSF), model observability, and cybersecurity-by-design across all stages of development. She has authored and published research papers in AI/ML, fraud detection, graph-based analytics, and AI-driven cybersecurity, contributing to the advancement of applied artificial intelligence in enterprise systems. As an IEEE member and contributor, she actively engages with the professional community through research collaboration and technical discourse.

Beyond her engineering leadership, Yukti contributes to the broader innovation ecosystem as a keynote and panel speaker on Agentic AI, AI governance, and enterprise AI architecture, and as a national hackathon judge evaluating advanced AI/ML and cybersecurity solutions across U.S. institutions. She also mentors students through academic lectures and workshops, helping cultivate the next generation of AI engineers. Her multidisciplinary expertise across full-stack development, cloud infrastructure, cybersecurity, and autonomous AI systems positions her as a trusted voice in the evolving landscape of intelligent, secure digital transformation.