Currently, I am a data engineer at Solita where I design and develop data pipelines and workflows for our clients.

✦ Automated cloud infra with Terraform and CI/CD pipelines.
✦ Built and orchestrated end-to-end data pipelines, from ingesting APIs to dbt transformations.
✦ Owned data governance, defining data retention rules and PII.

✦ Analyzed app usage data to improve user funnels which led to effective onboarding and retention.
✦ Owned data in AI feature sprints that automated the clinician workflow.
✦ Mapped business needs to events tracking in the Braive application, enabling leadership visibility into the product.

✦ Worked as an ML engineer in an industrial project between RISE and Smart Eye.
✦ Designed, built, and trained data synthesis systems for autonomous driving.
✦ Assisted developers at Smart Eye with shipping to production, resulting in improved accuracy of AD systems.

✦ Curated large national datasets, including the parliamentary proceedings, helping with transparency to the Swedish government.
✦ Provided data quality tests for the training of Swedish LLMs, including KBWhisper.
✦ Built pre-processing workflows for digitised text material, with OCR on PDFs and text segmentation with Huggingface models.

In parallel to my studies, I also served as a lecturer and held workshops in Statistics within experimental design and predictive models for data science undergraduates.

I also developed a few projects:

✦ A real-time pipeline in Kafka/Spark on UPPMAX clusters.
✦ Implemented a Bayesian sports ranking algorithm in Python.
✦ Benchmarked and tuned clustering algorithms on real-world datasets.