Incoming M.Eng. @ Zhejiang University (Computer Science) · Research focus: Embodied Intelligence & Vision-Language-Action (VLA)

I'm a research-oriented engineer and incoming graduate student at Zhejiang University (ZJU) CS. My work and interests center around building generalist robot learners that can perceive, reason, and act from multimodal inputs — bridging vision, language, and action for real-world autonomy.

• Interests: Embodied AI, Vision-Language(-Action) Models, Interactive Reasoning, Policy Learning, Robot Manipulation
• Methods: Multimodal representation learning, RL/IL/BC, diffusion policies, model-based planning, long-horizon task decomposition
• Goals: Align foundation models with physical agency; make robots reliable, data-efficient, and safe in open-world settings

Currently I'm learning and pivoting into VLA/Embodied AI. Previously, I worked on NLP and Large Language Models.

• Zhejiang University, College of Computer Science and Technology — M.Eng. (incoming)
• Harbin Institute of Technology — B.Eng.

• Large language models: instruction tuning and alignment (e.g., SFT/LoRA; familiarity with RLHF/DPO paradigms), safety and robustness evaluation
• Prompting and reasoning: task-specific prompting, tool-augmented workflows, multi-step reasoning evaluation
• Data and training: dataset curation/cleaning, tokenization pipelines, experiment tracking; experience with distributed training frameworks
• Inference optimization: lightweight fine-tuning, quantization/distillation considerations for deployment

I'm open to research collaborations and discussion. If you're working on Embodied AI, VLA, or robotics platforms, I'd love to connect.

• Email: saberlve9@gmail.com
• GitHub: github.com/Saberlve -->

Thanks for visiting — if anything here resonates, feel free to star relevant repos or drop me a message. Let's build reliable embodied agents together.