Jan Sültemeyer

Together with my wife, I launched Pyne Studio, a fashion brand focusing on stylish winter coats for women. I built an online shop with a serverless architecture hosted on AWS that uses Stripe as a payment processor.

The code is available on my GitHub page: github.com/sltmyr/pyne-studio.

I was part of the team building a data lake in the AWS Cloud, handling petabytes of data for the BMW Group. I worked as a full-stack developer on the data portal, a React app that enables everyone within the organization to share, find, understand, and work with data. The back end is based on an event-driven serverless architecture around AppSync, Lambda, and DynamoDB. You can find a more detailed description of the project on the AWS blog:
https://aws.amazon.com/solutions/case-studies/bmw-group-case-study/

I completed a few data science and machine learning projects during my university studies. This included building various types of neural networks. One nice example is linked here. We trained a generative network to simulate fluid flow, a task that traditionally is error-prone and requires a lot of time to get right. A few other projects can be found on my GitHub page.

A stock options trading platform helping traders optimize their investment strategies. I helped build two tools: a calculator that helped predict the profitability of certain stock option strategies and trades and a "scanner" that helped traders find profitable investment opportunities. As a full-stack lead engineer, I helped build these tools on a state-of-the-art tech stack. The main challenge was ensuring that large amounts of data were kept up to date and displaying them in a performant, user-friendly, and accessible web app.