B.Eng. Candidate in Computer Science and TechnologySep 2023 – Expected Jun 2027
About Me
- Hometown:
- Nanning
- Location:
- Shenzhen / Beijing, China
- Target Roles:
- Solutions Intern, Pre-sales Technical Support Intern, or B2B Sales Intern / Sales Assistant
- Industry Focus:
- AI, enterprise software, and digital transformation
- Human Languages:
- English, Mandarin, Cantonese
- Interests:
- Embodied AI, artificial intelligence, software
- Email:
- [email protected]
Education
Industry Experience
AI R&D InternFeb 2026 – May 2026
- Contributed to a GLP report automation POC with LangGraph and FastAPI, connecting protocol documents and Excel data to report-section generation, data validation, and human review.
- Helped design workflow nodes and input/output structures for Examiner, Corrector, and Reviewer agents, separating checking, revision, and review responsibilities.
- Mapped business forms and data fields into prototype inputs, prepared typical and exception cases, and used validation findings to refine the workflow.
B2B Vendor Liaison and Procurement CoordinatorDec 2023 – Apr 2024
- Scoped office-equipment requirements, compared vendor proposals, coordinated specifications, quotations, delivery, and deployment, and helped reduce procurement costs by more than 10%.
Research
Physics-Guided Dual-Magnet Localization for Robotic SensingJun 2025 – May 2026
- Contributed to a physics-guided real-time dual-magnet localization study for robotic sensing and magnet-assisted medical interventions.
- Conducted sensor-array experiments on a magnetic sensing platform, evaluated real-world data quality, analyzed challenging cases, and summarized experimental observations to support model refinement.
- Evaluated data-efficient simulation-to-reality adaptation by comparing synthetic pretraining and real-data fine-tuning settings, analyzing physics-based field reconstruction and residual patterns.
- Achieved 5.30 ms inference latency and mean position errors of 2.45/2.53 mm under the 60% fine-tuning setting; co-first-authored manuscript under revision at IEEE Transactions on Instrumentation and Measurement.
Multimodal Motion Assessment and Feedback SystemOct 2023 – Mar 2025
- Developed and tested a computer-vision workflow for sports posture analysis using YOLO-based detection, human keypoint estimation, and rule-based movement assessment.
- Combined model outputs with multimodal AI-agent support to generate automated analysis and interpretable feedback for tennis and related motion scenarios.
Selected Projects
FPGA HDL PortfolioVerilog FPGA and MIPS CPU design portfolio
SQL Copilot AgentAI-driven SQL autocompletion and query assistant
GoZero AgentGo AI agent based on supervised learning, reinforcement learning, and MCTS
Oracle Bone Image ProcessingOracle bone image rectification, contour fitting, and character segmentation pipeline