Linga Reddy Alva

Linga Reddy Alva is a Senior Data Engineer / Data Solution Architect, AI Researcher, and technology leader specializing in cloud-native enterprise data engineering, agentic AI, Generative AI, and LLMOps. With extensive experience designing and implementing large-scale data platforms, he has developed deep expertise in Apache Spark, Databricks, distributed systems, cloud computing, and modern lakehouse architectures. His work focuses on bridging the gap between advanced data engineering practices and rapidly evolving artificial intelligence technologies, with particular emphasis on multi-agent systems, trustworthy AI, retrieval-augmented generation (RAG), governance frameworks, and production-grade AI deployment.

Over the course of his career, Linga Reddy has led and contributed to numerous enterprise-scale initiatives across the healthcare, retail, telecommunications, pharmaceutical, and media industries. His technical interests center on Generative AI, agentic AI systems, cloud scalability, data governance, AI observability, and the design of resilient, secure, and scalable AI platforms.

Linga Reddy is the author and co-author of multiple peer-reviewed research papers in the fields of artificial intelligence, data engineering, cybersecurity, and intelligent systems. His research has been published in internationally recognized journals, including Springer Nature's *Artificial Intelligence Review*, where his work on agentic AI architectures, governance, and cloud-scale deployment has attracted significant academic and industry attention.

In addition to his research contributions, Linga Reddy actively serves the global scientific community as a peer reviewer for leading journals and international conferences focused on artificial intelligence, machine learning, cybersecurity, data engineering, and distributed computing. He has reviewed dozens of research manuscripts and has been recognized for his commitment to maintaining high standards of scientific excellence.

Linga Reddy is also a frequent keynote speaker, technical program committee (TPC) member, session chair, and panel participant at international conferences dedicated to artificial intelligence, cybersecurity, cloud computing, and data engineering. He regularly evaluates emerging technologies, mentors researchers and practitioners, and serves as a judge for hackathons and innovation competitions focused on AI, data science, and software engineering.

Passionate about advancing reliable, trustworthy, and production-ready AI systems, Linga Reddy continues to work at the intersection of enterprise data engineering and artificial intelligence, helping organizations transform cutting-edge research into scalable, real-world solutions while empowering professionals to navigate the rapidly evolving landscape of agentic AI.

Talk title: Agentic AI Meets Data Engineering: Why Your Data Platform Is the Real Bottleneck to Production AI