Kai Khalil-middlebrook is a Senior Data Engineer based in San Francisco with eight years of experience building data platforms, leading cross-functional teams, and shipping production-grade ML and ETL systems at startups and mid-size companies. At ReferralExchange he has designed and operated a distributed data stack on AWS, authored 50+ pipelines moving terabytes of data, and built custom NLP models that measurably improved data quality. He cofounded and scaled a machine-learning education product that grew customers 210% YoY while mentoring and hiring ML instructors, demonstrating both product instincts and people leadership. His background spans applied research in music and genomics—publishing novel architectures for raw-audio modeling and curating large multi-label datasets—bringing a research-to-production mindset. A self-supervised learner with interests in philosophy, neuroscience, and education, Kai excels at translating ambiguous stakeholder needs into pragmatic data solutions that balance accuracy, reliability, and long-term maintainability.
8 years of coding experience
7 years of employment as a software developer
Data Science Concentration in Computational Analytics, Data Science Concentration in Computational Analytics at University of San Francisco
Breakout Mentors deep dive lessons and resources on data science and machine learning. All materials are made easily accessible through Google Colab notebooks. Learn more about ML @ Breakout Mentors by visiting the website link below.
Contributions:16 reviews, 138 commits, 26 PRs in 2 years
Contributions:4 pushes, 1 branch in 2 years 4 months
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