I am graduating in May 2026 with an MS in CS from Georgia Tech.
Previously, I spent four years in the PhD program at Georgia Tech where I was advised by Prof. Ada Gavrilovska and Prof. Kexin Rong. I did my undergrad at Penn State.
Broadly, my interests lie in making practical computer systems for real-world use.
GitHub: @rajveerb
Linkedin: @rajveermb
Email: rr [at] gatech [dot] edu
Previously, I spent four years in the PhD program at Georgia Tech where I was advised by Prof. Ada Gavrilovska and Prof. Kexin Rong. I did my undergrad at Penn State.
Interests
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.
Contact
X: @rajveerbachGitHub: @rajveerb
Linkedin: @rajveermb
Email: rr [at] gatech [dot] edu