As a kid, I became fascinated by PC hardware and Coding through gaming. When I began studying Computer Science, this grew into an interest for computer architecture, GPUs, and systems-level work. I am now looking for research opportunities to explore these areas further and contribute meaningful work.
Research Interests
- GPU computing and efficient inference for large language models
- KV-cache management and pruning
- Request scheduling and serving in engines such as vLLM
- Quantization and sparse or compressed tensor formats
- Energy-efficient inference
- GPU kernel and roofline analysis
- ML compilers
- Distributed inference
- Hardware-software codesign
Achievements
- 3× High Achiever, NUST SEECS
- Winner, CUST Hackathon (Bideez)
- Winner, FAST Hackathon (CareerPrep)