Marcus Olsson

• Developing the data layer that processes and catalogs datasets used for training and benchmarking Speech-to-Text models.
• Built and deployed an inference pipeline for Inverse Text Normalization (ITN) and punctuation for the Universal-2 streaming model.

Technologies: Google Cloud Platform (BigQuery, Dataflow, Composer), Python, Bazel

• Maintained the official suite of SDKs and reviewed API design documents for Developer Experience.
• Maintained the developer docs, including building tutorials for Getting started using each SDK, establishing a style guide, and reviewing docs contributions.
• Oversaw and contributed to the blog post pipeline of educational content.

Technologies: SDK Development, Docusaurus, Python, Go, TypeScript

• Developed and managed a Developer Relations program from the ground up for the Grafana plugin developer community.
• Built the developer docs for Grafana plugin development from the ground up.
• Developed and maintained 10+ plugins including 5 of the top 10 most installed plugins on Grafana Cloud, and what would become the in-app marketplace for installing plugins within Grafana.
• Led plugin reviews and the experience of publishing plugins to the official plugin catalog.

Technologies: Go, TypeScript, React, Grafana, Prometheus, Hugo

• Developed a data warehouse for a streaming video platform to provide analytics to the rest of the organization.
• Built data pipelines to prepare unstructured data used to train ML models for churn and recommendations.
• Developed data anonymization pipelines in anticipation of GDPR.
• Advocated the use of data within the organization through demos and training sessions.

Technologies: BigQuery, Dataflow, Airflow, Go, Python, Java

• Built and managed the Obsidian plugin developer docs from the ground up.
• Migrated the Obsidian product docs to Diátaxis for consistency and readability.

Technologies: Diátaxis, TypeScript, HTML/CSS, Streamyard, Docusaurus

• Built a streaming pipeline for ingesting YouTube API resources into Google BigQuery.
• Led the development of an in-house cloud platform based on Kubernetes and OpenStack to support the expansion to new markets without having to scale the operations team.

Technologies: GCP, BigQuery, Cloud Functions, OpenStack, Terraform, Kubernetes, Go, Python

• Developed a platform based on Apache Mesos and VMWare, for reliably running applications with high demands on availability.

Technologies: Apache Mesos, VMware vSphere, Docker, Prometheus, Grafana, Go, Python

• Consulted teams on developing cloud-native microservices in Go.

Technologies: Microservices, Domain-Driven Design, Elasticsearch, Redis, Go, Java

• Built applications for offline and real-time rendered computer graphics.

Technologies: C++, Python, OpenGL, CUDA, Qt, Image-based lighting, Autodesk Maya

Co-organized 20+ events at companies around the Stockholm area. Organized Sweden’s first Go conference.

Spoke at meetups and conferences about Google Cloud Platform and Go.