About Wayne¶

Wei Cheng (Wayne) Chiu — AI Solutions Engineer.

I build enterprise AI agents that hold up in production — multi-agent applications, hybrid retrieval, and the evaluation and validation that make them dependable for real users. I take systems end-to-end, from proof-of-concept into customer environments.

Currently an ML Engineer at SYNCROBOTIC and an M.S. Computer Science candidate at the National Taiwan University of Science and Technology (NTUST, graduating April 2026), researching AI/LLM security and privacy-preserving machine learning in Prof. Shao-Jui Wang's lab.

My recent work spans applied LLM systems (multi-agent orchestration, RAG, LLM evaluation) on DGX-class hardware, the NVIDIA inference and multi-GPU stack (TensorRT-LLM, Triton, NIM, NCCL, CUDA Tensor Cores), and privacy-preserving ML (federated learning, differential privacy, secure multi-party computation).

Focus areas¶

Deployment — taking AI systems into customer environments, from PoC through rollout and support.
Reliability — prompt/pipeline regression tests, output validation across quality and safety, distributed tracing.
Retrieval & agents — hybrid vector + keyword + knowledge-graph retrieval with semantic caching; planning / execution / validation orchestration, function calling and tool use.
Serving internals — KV-cache, quantization trade-offs, Flash Attention, CUDA kernels — enough to reason about cost and latency at design time.
Research — AI/LLM security & safety alignment; federated learning, differential privacy, secure multi-party computation.

Contact¶

Disclaimer

The views expressed on this site are my own and do not represent those of my employer or affiliated institutions.