Summary
David Tolpin is an algorithm engineer and AI researcher with 15 years of experience building production-grade systems and publishing cutting-edge AI work across computational health, cybersecurity, robotics, and online advertising. He blends end-to-end software delivery—from design and high-volume distributed architectures to maintenance—with deep probabilistic and Bayesian modelling expertise developed during a PhD and academic appointments. Past roles include leading data science and forecasting at PubPlus, inventing state-of-the-art NGS post-processing at Wild Biotech, and deploying anomaly-detection systems at PayPal, demonstrating a rare mix of research, patents, and shipping code. Based in Israel, he now focuses on computer vision and graphics algorithms at 2K, while retaining a strong track record in decision-making under uncertainty, novelty detection, and probabilistic programming. Notably, he has repeatedly introduced new languages and engineering practices (e.g., Go for high-volume processing) to improve team productivity and system reliability.
15 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Ben-Gurion University of the Negev
English, Hebrew, Yiddish, Armenian, Russian