About / Resume

School of Automation Science and Electrical Engineering · M.Eng. in Electronic Information

• Advisor: Prof. Rui Zhou, National Key Defense Laboratory of Aircraft Control Integration.
• Research focus: machine learning, reinforcement learning, multi-agent control, and autonomous systems.
• Leadership: Vice Chair of Graduate Student Union (University), Chair at School level.

School of Automation · B.Eng. in Automation (AI)

• Honors: National Scholarship, Beijing Outstanding Graduate, Baosteel Scholarship, First-Class Academic Scholarship.

Aerospace Innovation Institute · Technical Lead

• Responsibility: led core algorithm design for target assignment and formation maintenance.
• Method: developed dynamic assignment, 3D formation control, and formation reconfiguration algorithms.
• Result: enabled fast rallying, stable formation, and flexible reconfiguration for large swarms.

China Aerospace Science & Industry Corp. Second Academy · Technical Lead

• Responsibility: designed clustering, rally strategy, and anti-collision mechanisms.
• Method: combined guidance-line tracking with formation restructuring and obstacle avoidance.
• Result: delivered a real-time oriented collaborative planning solution for UAV swarms.

China Aerospace Science and Technology Corp. First Academy · Technical Lead

• Responsibility: built fast prediction models for trajectory and missile reachability.
• Method: parallel data generation and cleaning pipeline with multiple neural architectures.
• Result: kept average reachability error within 0.5%.

Master's Thesis

• Responsibility: studied collaborative decision-making and resource scheduling for dynamic/static scenarios.
• Method: proposed both tightly-coupled optimization and hierarchical decoupled planning models.
• Result: balanced global optimization quality and real-time constraints under complex conditions.

AI Agent Algorithm Engineer Intern

• Responsibility: researched and validated game-scene AI Agent capabilities.
• Method: optimized context modeling, memory mechanisms, and multi-turn decision chains on MIMO base models.
• Result: improved player behavior simulation and informed device strategy optimization.

Multimodal LLM Application Intern

• Responsibility: explored multimodal LLM applications in Douyin live-streaming scenarios.
• Method: led large-scale dataset construction for next-generation interactive experiences.
• Result: validated technical feasibility of multimodal understanding in real-time interaction workflows.

Computer Vision Developer (University-Industry Program)

• Responsibility: participated in CV algorithm iteration for visual understanding and structured extraction.
• Method: built an automated loop for data cleaning, model training, and evaluation.
• Result: improved data quality and model iteration efficiency with stronger product alignment.

Vice Chair / School-level Chair

• Responsibility: coordinated large-scale events and university-industry collaboration initiatives.
• Result: partnered with major tech firms and secured approximately CNY 70,000 in sponsorships.