I hold a master’s degree (M.Sc.) in Data Science from Uppsala University, with a prior Bachelor’s degree (B.Sc.) in Software Engineering & Management from the University of Gothenburg, in Sweden. My interests are in the field of machine learning (ML), deep learning (DL), full-stack AI engineering, and federated learning.
My completed master’s thesis topic in Data Science “Federated Learning for Automated ECG Classification”.
My undergraduate thesis topic in Software Engineering & Management “Exploring Metrics for Safety and Reliability Assessment in an Automotive Emergency Braking Perception System: A Case Study”.
Previously worked in a diverse range of projects in AI development, data analysis, statistical modelling, deep learning, and probabilistic machine learning.
Currently working on energy-aware autoscaling for Kubernetes-based environments at Ericsson R&D in summer of 2026.
Worked with orchestration of large language models in applications of telecommunication products and specs-information retrieval at Ericsson R&D in summer of 2024.
Previous Board Member in the Development Team at Uppsala AI Society from August 2025 to June 2026.
Highlight Project: Designed a data-intensive stock sentiment and trend prediction application Marketpulse using Django and Tensorflow, for investors, stock trends followers, and alike.
Built an administrator-dashboard for versioning of models currently active on the application, and adding new models, re-training from checkpoints or replacing them for use on the production side.
Trained a sentiment analysis NLP model that analyzed the sentiment for the future trend of a particular stock, from stock-related tweets.
Analysed on learned features using explainable-AI framework LIME, to understand which words influenced the sentiment score output the most/least.
Skills and Frameworks
I hold experience in software development in Python, Java, JavaScript, and HTML/CSS. In a diverse range of team-based environments, I have applied software development practices, particularly Agile methodologies like Kanban and Scrum.
