Benny Chen is a Senior Software Engineer in San Francisco with eight years of experience building scalable full-stack systems and ML-driven features across tech leaders like LinkedIn, Tesla, and Microsoft. He blends strong software engineering (Java, Python, JavaScript, C++, C#) with applied machine learning and data pipelines, from production purchase flows at LinkedIn to valuation and acquisition platforms at Tesla. His background includes research-grade ML work—deep reinforcement learning for Bing match plans and imitation learning for autonomous driving—demonstrating the ability to move models from prototype to measurable production gains. At UC Berkeley he built cloud-native survey analytics and real-time data pipelines on GCP, reflecting a practical mastery of serverless and NoSQL architectures. Rooted in craftsmanship and driven by curiosity, he favors elegant, reliable systems that improve user-facing experiences and business metrics. Colleagues can expect a pragmatic engineer who combines academic rigor with product-focused delivery.
8 years of coding experience
4 years of employment as a software developer
Concurrent Enrollment Student, Concurrent Enrollment Student at University of California, Berkeley
Master of Engineering - MEng, Electrical Engineering & Computer Sciences, Master of Engineering - MEng, Electrical Engineering & Computer Sciences at UC Berkeley College of Engineering
High School Diploma, High School Diploma at High School Affiliated to Nanjing Normal University
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Northeastern University (CN)
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