Andreas Jansson
Principal Systems Engineer at Cloudflare
Uddevalla, Västra Götaland County, Sweden
Summary
🤩
Rockstar🎓
Top SchoolAndreas Jansson is a Principal Systems Engineer with 15 years of experience building scalable ML and infrastructure systems, now at Cloudflare after cofounding and serving as CTO of Replicate. He blends deep machine-learning tooling expertise with production-grade backend and DevOps skills, contributing to notable open-source projects like replicate/cog (containerized ML runtimes) and keepsake (model versioning and storage backends). His background includes staff ML engineering at Spotify and early systems roles in music tech, underpinned by a PhD in Music Informatics and formal training in audio and electronic music production. Andreas is comfortable moving models from research to cloud-native deployment, implementing storage backends, CI/CD, and testing at scale. He pairs technical leadership with hands-on Go, Python, and cloud service work, and brings a musician’s perspective to signal and data problems that often uncovers unconventional but practical solutions. Based in Sweden, he focuses on reliable ML infrastructure that bridges researcher workflows and production requirements.
15 years of coding experience
17 years of employment as a software developer
Audio Engineering Diploma, Audio Engineering, Audio Engineering Diploma, Audio Engineering at SAE LondonPhD, Music Informatics, PhD, Music Informatics at City St George’s, University of LondonElectronic Music Production, Electronic Music Production at SAE Stockholm
Stackoverflow
3,237reputation
470kreached
42answers
30questions
Github Skills (28)
docker10
boto10
python10
machine-learning10
dockers10
go10
aws-s310
version-control10
google-cloud-build10
back-end-development9
pytest9
ml9
containerization9
google-cloud-storage9
backend9
Programming languages (16)
Github contributions (5)
replicate/cog
Feb 2021 - Oct 2022
Containers for machine learning
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1 release, 89 reviews, 235 commits in 1 year 7 months
Contributions summary:Andreas primarily focused on developing backend infrastructure, contributing code for cloud build processes and server functionality using Go. They worked on setting up and utilizing cloud services like Google Cloud Storage (GCS) and Google Cloud Build. The commits also show interaction with Docker, indicating a focus on containerization and deployment aspects of the project.
machine-learningcontainerscudadockerpytorch
replicate/keepsake
Jul 2020 - Mar 2021
Version control for machine learning
Role in this project:Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:1 release, 76 reviews, 211 commits in 8 months
Contributions summary:Andreas implemented S3 and GCS storage backends for machine learning model version control, using boto3 and aiohttp. They added unit and integration tests for the new backends using pytest and moto. The user also designed the CLI scaffolding and added functionality for managing experiments, including creating, listing, and deleting them, along with implementing features for the model training process.
machine-learningversion-control
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