Undergraduate mechanical engineering degree within a dual-degree track. Relevant coursework: Statistics and Probability, Signal Processing, Introduction to Computer Science, Analog Circuits and Systems.

Dual-degree undergraduate study in mechanical engineering, with exchange study at UIUC from Aug 2025 to May 2026. Coursework may include ME340, ME487, TAM251, and TAM211.

• Independently designed and built the product from 0 to 1, defining a four-step loop of learning scope, AI-generated syllabus, exam assessment, and battle feedback.
• Designed key modules including weekly scope, syllabus, and exam mode based on user learning and interaction scenarios, while structuring page hierarchy and product logic.
• Developed prompt strategies to drive LLM-generated learning content and assessment questions, exploring personalized feedback mechanisms in education.
• Built the frontend prototype with Next.js and Supabase, and iterated through development, debugging, and UI refinement with AI coding tools such as Codex and Claude.

• Co-designed and developed an AI web product from 0 to 1 for startup evaluation, centered around a multi-persona AI review system.
• Led the design of key frontend pages and interaction logic, including briefing, dynamic follow-up questioning, persona switching, and result feedback.
• Used Next.js for frontend development and leveraged AI coding tools such as Codex and Claude for implementation, debugging, and iterative product improvement.

• Designed a transmission system and completed CAD modeling under multiple constraints, covering requirement analysis, concept design, assembly testing, and iterative optimization.
• Identified mechanical interference and strength issues during assembly tests, proposed structural revisions, and validated feasible solutions.
• Delivered a system with multiple gear modes including climbing, low-speed, high-speed, and reverse, while integrating anti-shock design to improve stability and usability.

• Designed and assembled a walking laboratory delivery robot, focusing on leg mechanism motion and chassis structure.
• Diagnosed mechanical interference and motion jamming caused by structure thickness and part layout during prototyping, then improved stability through iterative redesign.
• Refined joint and fastening structures to preserve rotational freedom while limiting unintended lateral displacement, improving assembly reliability.

• Participated in remote sensing image preprocessing, annotation, and result analysis, gaining a practical understanding of how data quality affects model performance.
• Reviewed literature in snow remote sensing and summarized model selection logic, input-output structure, and evaluation metrics.
• Built a stronger understanding of machine learning workflows and improved my ability to connect technical methods with real-world application scenarios.

Product & Design

Technical

Engineering & Modeling

Tools