Jon Dorando is a CTO with nine years of leadership experience who combines deep academic training in theoretical chemistry (PhD, Cornell) with a decade-plus of applied ML and engineering at Bloomberg and Boosted.ai. He leads technical strategy and execution for AI-driven portfolio management products, translating advanced quantitative methods into accessible, no-code tools for finance. His background in parallel C++ implementations for quantum chemistry and production ML for search and personalization gives him uncommon fluency across research, high-performance systems, and product-grade machine learning. Based in the NYC area, he partners closely with business and research teams to solve domain-specific problems in financial engineering, prioritizing practical impact over purely technical novelty. An interesting through-line in his career is turning mathematically sophisticated models into scalable, user-friendly systems that democratize complex decision-making.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Theoretical Chemistry, Doctor of Philosophy (PhD) Theoretical Chemistry at Cornell University
Bachelor's degree Chemical Physics, Bachelor's degree Chemical Physics at Carnegie Mellon University
Use Prometheus to monitor Kubernetes and applications running on Kubernetes
Contributions:1 PR, 4 pushes, 1 branch in 1 day
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