Renwei Meng
Researcher building reliable product systems
I focus on AI systems, product engineering, and information design, translating research into clear user experiences.
Skills
Research
Engineering
Design
Timeline
Mathematical Foundations and Programming Training
Built a rigorous foundation in calculus, linear algebra, probability, and statistics while completing structured programming training to establish computational thinking and engineering discipline.
Advanced CS Coursework and Full-Stack Foundations
Moved into core computer science study, including data structures and systems knowledge, while systematically learning Java backend development and HTML/CSS/JavaScript frontend engineering.
Research in Medical Imaging and Computer Vision
Joined a research group to work on coronary CTA artifact reduction, focusing on the intersection of medical imaging, computer vision, and real-world scientific problems.
Exploration of Software Vulnerability Detection
Expanded into software security research, improving vulnerability detection methods with emphasis on code representation, defect pattern modeling, and detection effectiveness.
Deep Dive into LLM Systems and Agent Architectures
Studied large language model systems in depth, with focus on RAG enhancement, reasoning-chain optimization, agent workflow orchestration, and deployable intelligent agent pipelines.
Modern Full-Stack Engineering and Distributed Architectures
Strengthened practical command of modern stacks such as React and FastAPI, while extending into microservices, distributed systems, and production-grade architecture design.
Expansion into EEG BCI and AIGC Authenticity Research
Advanced further in EEG-based brain-computer interface research while also focusing on AIGC authenticity detection and multimodal AI safety at the frontier of cross-disciplinary research.