M.S. Computer Science @ UIUC
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I am an M.S. Computer Science student at the University of Illinois Urbana-Champaign, graduating in May 2027. I build efficient machine-learning and software systems, with experience in RAG/LLM serving, CUDA optimization, federated learning, and medical-imaging software.
- Efficient RAG and LLM serving
- Context compression and system evaluation
- CUDA and GPU performance optimization
- Trustworthy and federated machine learning
- Reliable software and data pipelines
- Accelerated batched CNN convolution by 5.6×, reducing operation time from 86.33 ms to 15.42 ms.
- Used fused implicit GEMM, Tensor Cores, Nsight Systems, and Nsight Compute.
- Preserved 87.14% model accuracy.
- FLAT: Revealing Hidden Latent-Conditioned Backdoor Failures in Federated Learning
- Non-Cooperative Backdoor Attacks in Federated Learning
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning — NeurIPS 2023
- Efficient Communication and Secure Federated Recommendation via Low-rank Training — WWW 2024
- Federated-Learning Backdoor Attacks
- IBA — NeurIPS 2023
- Federated-Learning Research Collection
- LLM Research Collection
- Competitive Programming 101
Languages: Python, C++, Java, SQL
Machine Learning: PyTorch, TensorFlow, Hugging Face, scikit-learn
Systems: CUDA, Tensor Cores, Nsight, Docker, Kubernetes, Linux
University of Illinois Urbana-Champaign
M.S. Computer Science, expected May 2027
VNU University of Engineering and Technology
B.S. Computer Science, High Distinction