Summary
Aleks Singer is a Special Projects Lead and former data engineer with eight years of experience building data and ML platforms for high-growth tech and biotech organizations. He has led regulatory reporting modernization at Stripe, founded an AI-driven performance software startup, and managed scalable compute and data teams at Altos Labs. With an MS in Statistical Genetics and teaching experience in data visualization, he blends rigorous quantitative training with product and platform execution. Based in San Francisco, Aleks bridges fintech, biotech, and ML infrastructure, favoring immutable data warehouses and automated, auditable reporting pipelines. He is equally comfortable prototyping research-grade models and leading cross-functional programs that turn them into production systems. An investor-minded builder, he focuses on projects that scale both technical reliability and societal impact.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Statistical Genetics, Master of Science - MS, Statistical Genetics at University of California, Davis
Master of Business Administration - MBA, Master of Business Administration - MBA at Quantic School of Business and Technology
Bachelor of Arts - BA, Bachelor of Arts - BA at Princeton University
Russian, French, Latin, Swahili, Spanish, Ukrainian