Solutions engineering
Shape practical architectures, align stakeholders and turn an open-ended problem into a delivery path.
Engineering judgment with a product mindset.
My background connects machine learning, data engineering, research and client-facing solution design. I started with R, classical ML and environmental data in 2015; Python followed in 2018 and became a committed relationship. Today I focus on turning technical ambiguity into systems, workflows and decisions people can trust.
Applied machine learning
Design ML, LLM, RAG and evaluation systems that survive the jump from proof of concept to production.
Data products
Build pipelines, analytical layers and internal tools that make complex data useful and observable.
Technical leadership
Guide engineers, mentor specialists and keep technical work connected to the outcome that matters.