Ewen Wang is a seasoned software engineer with 11 years of experience building ML and data infrastructure, currently focused on post-training infrastructure and inference optimizations for reinforcement learning. He has moved between high-scale production roles—at Amazon Brand Advertising, LinkedIn, and AWS—delivering batch inference, low-latency ML services, federated learning simulation frameworks, and cross-device model training. Ewen has recent hands-on experience designing large-scale GPU infrastructure for a stealth startup and now applies that expertise to optimize RL inference at ReflectionAI. His background bridges academic research in federated learning and adversarial attacks with production ML Ops, making him fluent in both experimentation and deployment. Based in New York, he consistently translates research-grade ideas into reliable, production-ready systems. A less obvious strength is his track record of working across the full ML lifecycle—from simulation and training frameworks to firmware anomaly detection and inference performance tuning—giving him rare end-to-end operational perspective.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Northeastern University
Contributions:1 PR, 86 pushes, 2 branches in 2 years 7 months
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Ewen Wang - Member Of Technical Staff at ReflectionAI