Scholar
Raja Gond
Google Scholar ID: L1ZFr9cAAAAJ
Microsoft Research India
Citations & Impact
Citations
2
H-index
1
i10-index
0
Publications
2
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - TokenWeave: Efficient Compute-Communication Overlap for Distributed LLM Inference
- - emucxl: an emulation framework for CXL-based disaggregated memory applications
- Service:
- - Artifact Evaluation Committee for ATC'25, OSDI'25, SOSP'25, EuroSys'26
Research Experience
- Research Assistant in the AI-Infrastructure team at Microsoft Research India, focusing on optimizing systems for efficient inference of Large Language Models (LLMs) and exploring ways to optimize the serving of vision transformer models.
Education
- Graduated from IIT Bombay in 2023 with a B.Tech (with Honors) in Computer Science. Worked with Prof. Purushottam (Puru) Kulkarni on CXL and persistent memory during undergrad.
Background
- Research interests lie in computer systems, with a focus on making them more efficient for modern machine learning workloads. Currently, a Research Assistant in the AI-Infrastructure team at Microsoft Research India, working on optimizing systems for efficient inference of Large Language Models (LLMs).
Miscellany
- Hobbies include taking walks and reading. Used to write poetry, but has stopped recently. Plans to apply to CS PhD programs this year to start in Fall 2026, and will be working with Prof. Baris Kasikci.
