Summary
Bolun Wu is an algorithm engineer in Shanghai with a decade of experience specializing in AI-driven security. He currently develops defenses and detection models at Keen Security Lab within Tencent, building on internships where he worked end-to-end on LLMs for security—continuous pretraining, SFT, quantization and inference acceleration. His academic foundation is a Master’s in Cyber Science and Engineering from Shanghai Jiao Tong University, and he ranked 3rd in his undergraduate cohort. Bolun blends practical malware detection work with model engineering for production constraints, showing fluency from low-level deployment to algorithm design. He also has hands-on experience across mobile and web stacks from iOS, Vue and Ruby development and UI design, reflecting a rare mix of security ML and product-facing engineering. Known for applying research ideas to hardened systems, he focuses on making bleeding-edge models both efficient and resilient in adversarial environments.
10 years of coding experience
Master of Engineering - MEng, Cyber Science and Engineering, Master of Engineering - MEng, Cyber Science and Engineering at 上海交通大学