ENTANGIBLE.COM

LLMs and generative AI, supervised and unsupervised learning, feature engineering, linear regression, classification, bootstrapping, kernel methods, neural networks and deep learning, Markov models, sequential data modeling and state machines, maximum likelihood estimation, distribution fitting, discrete signals and sampling, algorithm design, expected values, relational databases, A/B testing... ML engineer / applied scientist accomplished in delivering high-quality reliable data science and deep neural network models, analyses, and engineering processes. I partner with data scientists, analysts, engineers, and PMs throughout the product development and modeling lifecycles - from ideation, training, and internal validation to running models and monitoring them in production. I'm passionate about elegant, intelligent systems that are enjoyable to use, and thoughtful products for humans and sometimes aliens.