Jinming Xing

Jinming Xing

Jinming Xing

I am a PhD student in the Computer Science Department at North Carolina State University. Alongside my academic journey, I worked as a Machine Learning Engineer Intern at Adobe. Prior to that, I received my bachelor’s degree (Honored) from the Computer Science Department at Shenzhen University. My research interests focus on LLM Agents, Agentic Systems, and LLM-Guided Graph Reasoning.

Education

  • PhD in Computer Science (2023/08 - Present) | North Carolina State University (NCSU)
  • BS in Computer Science (Honored) (2019/09 - 2023/07) | Shenzhen University (SZU)

Industry Experience

  • Machine Learning Engineer Intern (May 2026 - Aug 2026) | Adobe

Skills

  • LLM Agents & Agentic Systems: MCP (server/client implementation, tool-schema design, prompts), tool calling, multi-agent orchestration (OpenAI/Claude Agents SDK, LlamaIndex Workflows), ReAct / plan-and-execute / reflection & self-critique loops, supervisor-subagent delegation, context engineering & long-horizon memory, human-in-the-loop checkpointing, agentic RAG, verifier-gated and self-critiquing generation
  • LLM Post-Training & Inference: GRPO, PPO, DPO, RLHF/RLAIF, RLVR & verifiable-reward design, knowledge distillation, LoRA/QLoRA/PEFT, Ollama, prefix/KV-cache reuse, speculative decoding, hybrid retrieval + reranking, chunking & embedding strategy
  • Core Engineering & DL: Python, C/C++, PyTorch, HuggingFace Transformers, Docker, Git, Databricks, Hadoop, Spark, MySQL, Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn; Transformers, GNNs, CNNs, RNNs, Deep RL, Causal Inference, Semi-Supervised & Noisy-Label Learning, Spatio-Temporal Reasoning

Grants

  • North Carolina State University College of Engineering Travel Grant, 2025, $1k
  • National College Students Innovation and Entrepreneurship Training Project, 2021, $2.8k
  • Guangdong Province Science and Technology Innovation Strategy Special Fund Project, 2022, $2.1k

Services

CV