Inside The ICACKE 2026 Advisory Board: A Collective Blueprint For The Next Frontier Of AI And Data Engineering

The Industry Advisory Board of ICACKE 2026, hosted by GITAM University, brings together such professionals. Rather than serving as a ceremonial body, the board reflects a cross-section of industry thinking—from platform-level engineering to AI governance—where academic research meets operational reality.

Suneeth Maraboina | Lead Audio Engineer, Apple Inc.

At Apple, Suneeth Maraboina works at the intersection of multimedia frameworks, signal processing, and platform-level audio architecture. His career has focused on building scalable, performance-driven audio systems that power consumer devices used by millions globally.

His perspective represents a discipline where precision, latency, and user experience must coexist seamlessly. By bringing real-time media system expertise into an academic forum, he highlights how foundational engineering decisions influence everything from product reliability to user trust.

Prabhav Rathi | Analytics Manager, Intermedia Intelligent Communications

Prabhav Rathi’s work centers on analytics-driven system design and enterprise automation. Drawing from his experience building data workflows that boost operational efficiency, he specializes in turning complex data into clear, actionable results for organizations.

His career path mirrors a key trend in the industry today: the shift toward analytics systems that go beyond just showing insights — instead actively guiding decisions through smart process automation and scalable, reliable architecture.

Swapnil Shrishrimal | SLAC National Accelerator Laboratory, Stanford University

Affiliated with Stanford University through SLAC National Accelerator Laboratory, Swapnil Shrishrimal brings deep expertise in DevOps engineering, cloud infrastructure, and automation-first system design.

His experience covers CI/CD pipelines, infrastructure as code, and monitoring systems built to handle high-performance scientific computing. This mix of research-world demands and production-grade reliability gives him a rare viewpoint on creating truly resilient platforms that can stand up to extreme computational pressure.

Himant Goyal | Senior Product Manager, Informatica LLC

At Informatica, Himant Goyal focuses on enterprise data platforms and analytics strategy. His work is all about making sure data, AI, and analytics efforts line up closely with what executives actually need to decide and with the company’s bigger, longer-term goals.

His career really captures the strategic side of modern data engineering today—where it’s not enough to just build technically strong systems; true success comes from how well those data platforms actually drive the organization forward and deliver clear, measurable results.

Rakesh Ramakrishna Pai | Data Engineering Leader, eviCore Healthcare

Working in a highly regulated healthcare environment, Rakesh Ramakrishna Pai specializes in governed data architectures, cloud-native platforms, and applied AI systems. His work connects cutting-edge data engineering with the strict compliance rules that can’t be compromised.

His experience really highlights a major shift happening in the industry right now: even as AI and analytics push the boundaries of what’s possible, they have to be carefully balanced with strong accountability, solid governance, and real trust—especially when the quality and integrity of the data can literally affect people’s lives.

Abhilash Pakalapati | Senior Data Engineer, Fannie Mae

Abhilash Pakalapati focuses on building production-ready AI systems within large enterprise data ecosystems. His expertise covers large language models, retrieval-augmented generation (RAG) pipelines, and AI-powered analytics platforms.

His work really captures the big shift happening with Generative AI right now: moving from exciting experiments to something that actually runs reliably at scale. In the real world, it’s scalability, smooth integration, and rock-solid reliability that decide whether these systems deliver lasting value.

Ajay Pandey | Director, Technology Development, Tradeweb

Ajay Pandey brings deep expertise in electronic trading systems and low-latency distributed architectures. His specialization covers market infrastructure, FIX-based integrations, and real-time platforms that run at true global scale.

His background really shows how much system design matters in financial markets—where every millisecond counts, fault tolerance isn’t optional, and rock-solid architectural discipline is simply non-negotiable.

Arun Vivek Supramanian | Senior Data Engineer, Amazon

At Amazon, Arun Vivek Supramanian works on scalable data pipelines, real-time analytics, and cloud-native ecosystems. His focus is on building reliable, high-throughput platforms that deliver steady, trustworthy business insights across really large organizations.

His experience really captures the operational backbone of today’s data-driven companies—where solid engineering discipline quietly keeps everything running smoothly so teams can make informed decisions at massive scale, day after day.

Gokul Chandra Purnachandra Reddy | Principal Specialist, Amazon

Gokul Chandra specializes in hybrid cloud architecture, platform modernization, and GenAI-enabled systems. His work covers networking, containerized platforms, and large-scale distributed infrastructure.

He brings a clear, systems-level view of how today’s enterprises actually move away from outdated legacy setups toward resilient, future-ready platforms—while still keeping performance strong and reliability rock-solid.

Saketh Ram Gurumurthi | AI/ML Architect, Wipro Ltd.

At Wipro, Saketh Ram Gurumurthi focuses on Generative AI, enterprise LLM platforms, and AI governance frameworks—particularly within financial systems.

His work really tackles one of the biggest hurdles facing AI adoption right now: building scalable, compliant, and explainable AI systems that organizations can genuinely trust when the stakes are high.

A Shared Industry Lens for ICACKE 2026

Together, the ICACKE 2026 Industry Advisory Board represents a collective industry lens—where research, production systems, governance, and scale intersect. Rather than positioning technology as abstract theory, these professionals ground it in real systems, constraints, and long-term impact.

At ICACKE 2026, the conference serves as the setting. The individuals—their experience, philosophies, and technical journeys—remain the central narrative shaping conversations on the future of computer and knowledge engineering.

About ICACKE 2026

The International Conference on Advances in Computer & Knowledge Engineering (ICACKE 2026) is an IEEE-affiliated international conference focused on emerging research and practical applications in computing and knowledge engineering.

Conference Website:https://icacke.gitam.edu/
Media Contact: ICACKE 2026 Media & Communications Team