Biography
Akhil Guliani is a Senior Member of Technical Staff at Oracle America, Inc, who as founding engineer contributed to the design and launch of the MySQL HeatWave Lakehouse platform, enabling analytics on up to 0.5 PetaByte of data in blob storage across multiple cloud architectures. He worked on data pipelines, designed the AutoSchema module to infer the structure of the data in blob storage for easier ingestion, he followed up this work by developing query export feature where you could export terabytes of data to the object storage in seconds. He also participated in Ops and customer engagements where he acted as a Subject Matter Expert for the service. He holds a Master of Science in Computer Sciences from the University of Wisconsin-Madison (August 2016 - August 2021), with research areas including computer systems, architecture, and machine learning. His core where his research focused on resource management in operating systems and power-aware computing systems. This work builds upon his Master's research, during which he developed machine learning methods to model the thermal behavior of systems. Previously, he earned a Master of Science in Computer Engineering from Northwestern University (September 2014 - March 2016), specializing in computer systems, memory management, embedded systems, architecture, and machine learning. His academic foundation includes a Bachelor of Engineering in Instrumentation and Control Engineering from Netaji Subhas Institute of Technology, New Delhi, India, where he graduated with distinction.
With over 7 years of combined experience in higher education, research, and industry, Akhil has a proven track record in designing, implementing, and delivering high-quality system software. Notably, he implemented user-level device virtualization in Linux for Virtual Machine Monitors (VMMs) like Palacios VMM, an achievement recognized with a Best Paper Award. His expertise extends to GPU driver development and debugging, including kernel drivers, userspace runtimes, and building custom tools for testing, gained during his Co-Op Engineer role at Advanced Micro Devices (AMD). He is currently exploring alternative GPU power management policies to optimize application performance in large GPU clusters. His technical skills encompass Python, C, and C++ (proficient), along with experience in Linux scripting, power management, and tools such as GEM5 and MATLAB. Describing himself as a "hacker at heart," Akhil enjoys building things, participating in hackathons, and is currently developing an app to visualize music with RGB LED strips in his spare time. He also has industrial experience as a PhD Student in Computer Sciences at the University of Wisconsin-Madison, and as a Senior Engineer at GAIL (India) Ltd.
Interests
- High Performance Computing
- Operating Systems
- Embedded Systems
- Systems Design
- Wearable Sensor Systems
- Power Aware Computing
- Artificial Intelligence
- Machine Learning
Education
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MS in Computer Sciences, 2021
University of Wisconsin-Madison
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MS in Computer Engineering, 2016
Northwestern University
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BE in Instrumentation and Control Engineering, 2012
Netaji Subhas Institute of Technology
