Leo Chen is a Member of Technical Staff at OpenAI with eight years of engineering experience building production-grade ML infrastructure, recommendation systems, and research platforms. He combines three years of academic research in security, privacy, and adversarial ML with extensive industry work at TikTok and Facebook designing low-latency ranking systems, distributed schedulers, and LLM training platforms. Skilled across C++, Java, Python, Beam/Flink, and CUDA, he has shipped disaster recovery, sharding/cache optimizations, and DSL-driven configurability for large-scale ads ranking. Based in Palo Alto, he blends full-stack development and blockchain interest from his GitHub background with a knack for turning privacy research into practical systems. Notably, he has led cross-functional deliveries at hyperscale companies while mentoring and ramping up multiple engineers.
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