I help developers succeed with cutting-edge AI and software technologies by bridging technical depth with approachable, real-world solutions. I create educational content, tools, and prototypes that make complex systems more accessible. By collaborating with engineering teams and partner, I help guide product adoption and shape developer experiences. My role blends hands-on engineering, developer advocacy, and ecosystem strategy to support AI strategy.

Key words: open source software, community building, software tooling, technical content creation prototyping

Alongside my role, I drive DEI initiatives for early careers.

As part of ML SW Tooling, I develop the ML Inference Advisor (MLIA). It's a tool to help AI developers design and optimize neural network models for efficient inference on Arm® targets by enabling performance analysis and providing actionable advice. The advice can cover supported operators, performance analysis and suggestions for model optimization (e.g. pruning, clustering, etc.).

Key words: machine learning, neural networks, python, open source software, optimization, object oriented programming

With the Machine Learning Embedded Software group, I work towards CMSIS-NN and Tensorflow Lite Micro, enabling machine learning to run fast and energy efficient. Along with that, I'm the scrum lead of my team and work with university relations activities in Lund.

Key words: machine learning, embedded software, microcontrollers, C++, open source, TensorFlow Lite Micro, optimization, neural networks

“Simple RSRP Fingerprint Collection Setup and Indoor Positioning in 5G”

Creating a pipeline for automatic data collection by programming a robot vacuum and creating a Python app for a 5G smartphone. Pre-processing of radio signals to construct a fingerprint dataset. Testing different ML algorithms to map position to fingerprint

Keywords: machine learning, python, high band 5G, linux, prototyping, data science, C, full stack

Working with the "Cell Death and Lysosomes" group at the Department of Experimental Medical Science, building tools for text annotation to mine information from research papers on the coronavirus

Keywords: machine learning, biomedical research, NLP, data science, python