M.Sc. student in Machine Learning · KTH Royal Institute of Technology
M.Sc. Machine Learning student at KTH passionate about applying emerging AI to complex systems. I combine a multidisciplinary background in HCI, media systems, and system integration with specialized training in Deep Learning, Computer Vision, and NLP. With practical experience in multi-language programming, systems, and pipelines, I thrive on exploring emerging AI technologies to solve real-world technical challenges.
Sep 2026 – Present
Developing a computer vision pipeline to extract temporal behavioral patterns from unstructured, unlabeled 4K video data. Tackling multi-object tracking, occlusion handling, and time-series analysis in dynamic, real-world environments.
May 2026 – Jul 2026
Fine-tuned Qwen3-1.7B models for general knowledge, mathematics, safety, and multilingual reasoning using LoRA, SFT, DPO, and GRPO. Combined individual specialists into a unified architecture and evaluated training-free weight-space merging techniques.
Jan 2026
Led development of a web-based AR-integrated product for a large international fashion and luxury brand — fullstack development, infrastructure integration and stakeholder communication.
Designed and built the website for a Swedish startup consulting company, from visual design to deployment.
First-cycle degree project in Media Technology at KTH, completed June 2025.
KTH Royal Institute of Technology · 2025 – 2027 (expected)
Second cycle
Foundations of Machine Learning · Machine Learning, Advanced Course · Artificial Intelligence · Machine Learning for Media Technology · Deep Learning, Advanced Course · Deep Generative Models and Synthesis
EPFL — École Polytechnique Fédérale de Lausanne · Feb 2026 – Jul 2026
Exchange courses
Modern natural language processing · Learning in neural networks · Computer vision · Image analysis and pattern recognition · Large-scale data science for real world data
KTH Royal Institute of Technology · Completed June 2025
First cycle
Probability Theory and Statistics · Programming and Scientific Computing · Computer Graphics and Interaction · Interaction Programming and the Dynamic Web · Program Development for Interactive Media · Human-Computer Interaction
Systembolaget Lidingö — Supporting hundreds to thousands of customers weekly with accurate, compliant service. Coordinating inventory and floor operations under Sweden's strict alcohol sales regulations.
MKM Bartending Team — Coordinated volunteers and operations for student events, handled scheduling and stakeholder communication. Budget owner responsible for the organization's economy.
MTGN Media Section, KTH — Participated in the three-week orientation at the Media Section at KTH. Planned events and coordinated with other volunteers.
Let's talk about ML, products, or your thesis.
I'm open to internships, thesis projects and conversations about machine learning in real systems.