AI Security Researcher · Adversarial ML · Inference Optimization
Kathmandu, Nepal
Website · Google Scholar · LinkedIn · ResearchGate · Medium
I work on AI security and efficient inference, with a focus on adversarial behavior in language models and systems-level optimization.
- LLM safety and adversarial evaluation
- Multilingual and code-switched model behavior
- Activation-level analysis
- LLM inference optimization
- GPU kernel optimization
- Hardware and microarchitectural security
- ML compiler behavior
Nepali Adversarial Safety Benchmark
Research on safety behavior in LLMs under Nepali and code-switched inputs.
Training-Free Activation Sparsity for LLM Inference
Experimental inference-optimization framework using activation sparsity and custom CUDA kernels.
- Compiler Optimizations & Model Safety — investigating whether compilation and inference transformations affect safety-relevant model behavior.
- Transformer Side-Channel Security — exploring potential microarchitectural side channels in transformer inference.
- Activation-Level Safety Analysis — studying activation patterns associated with safety-relevant model behavior.
Python · C/C++ · CUDA · PyTorch · Triton · MLIR · Linux