INI Alum Vikramraj Sitpal Advances Database Systems at Oracle

An Information Networking Institute (INI) graduate (MS ‘31), Vikramraj Sitpal applies deep expertise in operating systems, database kernels, security, distributed systems and AI infrastructure to high-impact engineering work at Oracle. 

This spring, Carnegie Mellon University (CMU) held the 31st Parallel Data Lab Workshop and Retreat, bringing together researchers, students and industry professionals working at the frontiers of storage systems, databases and large-scale computing. Among the attendees was INI alum Sitpal, whose career has focused on advanced systems engineering, database kernel infrastructure, operating systems, security and emerging Artificial Intelligence (AI) infrastructure. 

Sitpal, a 2021 graduate of the INI’s M.S. in Information Networking (MSIN) program, is now a senior development manager in Oracle’s Database organization, where he works on some of the most technically demanding layers of database infrastructure. His work spans Central Processing Units (CPUs), I/O, synchronization, observability and memory subsystems of the database kernel, along with secure execution and resource management for Enterprise AI infrastructure. 

For Sitpal, this work builds naturally on the systems foundation he developed at CMU. “The INI gave me the rigor and the environment to go deep,” said Sitpal. “The real test is applying that foundation to systems where performance, security, reliability and business requirements all matter at once. That combination — deep technical understanding and the ability to translate it into production engineering — is what I use every day.”  

At the INI, he was in the MSIN program. The MSIN is the INI's flagship program, an innovative degree that was one of the first to combine the disciplines of computer science and computer engineering. It produces contextual engineers by building core skills in system engineering, information security, software engineering and networking fundamentals while advancing interdisciplinary skills in business.

As a Research Assistant (RA) at Parallel Data Lab, Sitpal got an opportunity to connect with the research community that helped shape his technical path. For current INI students, he says the most important advice is to use CMU’s environment to build depth, not just credentials. 

“Take the hard systems classes, build things from scratch, read papers and talk to researchers and engineers who are solving problems at scale,” said Sitpal. “The value of CMU is not only the name — it is the training you get when you push yourself into difficult technical problems and learn how to solve them.” 

Now at Oracle, Sitpal contributes to core database kernel infrastructure that supports performance, reliability and scalability for modern data systems. His role combines hands-on systems engineering with technical leadership across complex, production-scale database infrastructure. He works on low-level systems problems where memory management, isolation, resource control and execution efficiency are critical to the behavior of large-scale database platforms. 

Sitpal’s technical work has also been recognized by the database research community. In 2026, he had a paper accepted to the Very Large Data Bases (VLDB) conference, one of the premier international venues for database systems research. The work reflects his contributions at the intersection of production database engineering and research-driven systems innovation, connecting real-world database kernel challenges with the broader evolution of modern data management infrastructure. 

While his work today sits at the intersection of database systems, operating systems and AI infrastructure, Sitpal sees his INI experience as a defining influence in how he approaches complex engineering problems. 

“At CMU, I learned to think about systems from first principles,” said Sitpal. “Whether the problem is memory isolation, distributed coordination, kernel performance or AI infrastructure, the habit is the same: understand the fundamentals, reason carefully about tradeoffs and build something that can work in the real-world.” 

As databases increasingly converge with AI, secure execution environments and high-performance systems infrastructure will become increasingly important. Sitpal continues to apply the mindset he developed at the INI in his role at Oracle. His career reflects the kind of interdisciplinary technical leadership that the INI seeks to cultivate.