Summary
Tung-ling Li is a Principal AI Researcher based in Berkeley with 14 years of experience building production-grade ML systems and automation across enterprise and research settings. He blends deep research in adversarial ML, LLM robustness, and hybrid CNN-Transformer architectures with hands-on MLOps and inference engineering that have driven measurable throughput and latency gains in production. At Palo Alto Networks he translated novel vulnerabilities and red-teaming research into operational products and engineered multi-backend inference platforms and continuous training pipelines. Earlier roles at Merck and Asurion showcase his strength in applied analytics, ETL, and automations that saved hundreds of hours monthly and improved market forecasting accuracy. A UC Berkeley MEng in Operations Research graduate and former GSI, he’s comfortable mentoring engineers while shipping scalable model-agnostic solutions. Beyond typical ML work, he has a track record of combining semantic clustering with LLM agents for large-scale data discovery—an approach that hints at his appetite for pragmatic, systems-level innovation.
14 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng, Operations Research and Information Engineering, Master of Engineering - MEng, Operations Research and Information Engineering at University of California, Berkeley
Associate’s Degree, Business Administration and Management, General, Associate’s Degree, Business Administration and Management, General at National Taipei University of Business
Bachelor's degree, Major in Applied Foreign Languages. Minor in Computer Science and Information Engineering, Bachelor's degree, Major in Applied Foreign Languages. Minor in Computer Science and Information Engineering at National Taiwan University of Science and Technology
Bachelor's degree, International Business Management Study, Bachelor's degree, International Business Management Study at Avans University of Applied Sciences
English, Chinese, German