CV
education
2021--2025
ph.d in distributed deep learning
2015--2017
msc. in engineering mathematics and computational science
2012--2015
bsc. in engineering mathematics
work experience
2025--
senior ML engineer
leading the design and deployment of scalable ml systems for enterprise clients. architecting end-to-end pipelines bridging research and production.
leading the design and deployment of scalable ml systems for enterprise clients. architecting end-to-end pipelines bridging research and production.
2019--2025
ML research scientist
research on decentralized deep learning and ood generalization. industry and public sector projects in computer vision, NLP, and privacy-preserving ML, with applications in healthcare, energy, and telecom.
research on decentralized deep learning and ood generalization. industry and public sector projects in computer vision, NLP, and privacy-preserving ML, with applications in healthcare, energy, and telecom.
2023
research visitor
working on domain generalization in federated learning at the CILVR group.
working on domain generalization in federated learning at the CILVR group.
2017--2019
ML engineer
modelling sensors for autonomous vehicles using machine learning.
modelling sensors for autonomous vehicles using machine learning.
skills
tools
python · pytorch · ray · docker · kubernetes · kubeflow · mlflow · aws/gcp · numpy · pandas · sql · git
ml
self-supervised learning · distributed training · generative AI (GANs, transformers) · LLM fine-tuning
languages
swedish (native) · english (fluent) · spanish (B2) · japanese (beginner)
grants
2023
structural causal models for distributional shift in federated learning
2022
research visit to new york university