AI & Data Science
Eric Voss
I help businesses in highly regulated industries build AI solutions and quantify their impact.
I'm a Minnesota-based data scientist at Securian Financial, where I work on developing shared standards and tooling to support the building, operation, and evaluation of AI systems. My career spans more than a decade across application development, analytics, and AI/ML in the financial services industry.
Although my professional focus these days is mostly on practical topics like AI scalability and observability, I also like to dive into more off-the-wall research areas while exercising my "traditional" data science and statistical modeling muscles, so expect to see some occasional posts along those lines here as well.
What I work on
More about me
Enterprise AI standards
Defining how AI gets built, evaluated, and operated across the company — engineering and testing practices, deployment and monitoring patterns, and the model governance a regulated industry requires.
Shared platform capabilities
Designing AI services as reusable building blocks rather than one-off projects, so document processing, summarization, and decision support can be picked up by the next team instead of rebuilt.
Applied AI & machine learning
Still close to the build: LLM and generative AI solutions on AWS, NLP and document processing, statistical modeling, and the evaluation design that tells you whether any of it is actually working.