I am a fourth year PhD student at Georgia Tech, started in August 2022.
Previously, I was an undergrad at Penn State, graduated in May 2022.
PhD advisors: Prof. Ada Gavrilovska and Prof. Kexin Rong
Broadly, my interests lie in making practical computer systems for real-world use.
GitHub: @rajveerb
Linkedin: @rajveermb
Previously, I was an undergrad at Penn State, graduated in May 2022.
PhD advisors: Prof. Ada Gavrilovska and Prof. Kexin Rong
Research interest
Currently, I am working on reducing latency in AI/LLM inference systems for emerging workloads.Broadly, my interests lie in making practical computer systems for real-world use.
Past research:
Built a profiling tool, Lotus [1] [2], to uncover bottlenecks causing poor GPU utilization in ML data preprocessing pipelines.
[1] Lotus: Characterization of Machine Learning Preprocessing Pipelines via Framework and Hardware Profiling (IISWC '24)
To address the lack of visibility into why data preprocessing slows ML training, Lotus profiles fine-grained operations and correlates them with hardware counters, revealing issues like CPU contention and out-of-order batch arrivals.
[2] Lotus: Characterize Architecture-Level CPU-Based Preprocessing in ML Pipelines (HotInfra '24)
Demonstrates that Lotus helps infrastructure designers evaluate CPU SKU choices for ML training servers.
Etc
X: @rajveerbachGitHub: @rajveerb
Linkedin: @rajveermb