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. Whatever comes of that ends up in posts — full write-ups when the work had a result worth showing, shorter notes when it didn't, and a few things still being figured out in the open.

LinkedIn GitHub Email

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.