Luke Persola is a pragmatic technology leader and CTO with a decade of experience building data-driven systems and engineering teams, currently based in San Francisco. He blends software engineering and applied data science, with hands-on experience in ML/NLP projects—semantic search, vectorization, and production ETLs—and a track record of improving pipeline reliability and latency. As an independent consultant and former Data Science Fellow, he moves comfortably between prototyping research-grade models and implementing robust backend services and job orchestration at scale. Early roles grounding him in full-stack Rails and microservices inform a practical, product-focused approach to deploying ML into production. He’s especially effective at turning messy, large datasets into actionable features and metrics, and he actively seeks roles in data science or ML engineering where he can bridge research and production.
10 years of coding experience
7 years of employment as a software developer
Great Valley High School
Bachelor of Arts (B.A.) Anthropology, Bachelor of Arts (B.A.) Anthropology at Penn State University
Notebook used to generate images for article 'Visualing the Geometric and Harmonic Means'
Contributions:11 commits, 12 pushes, 1 branch in 3 years 7 months
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Luke Persola - Chief Technology Officer at various