Software engineer focused on building practical systems across AI, data-intensive applications, and full-stack development.
I recently completed a Master of Science in Engineering in Software Engineering at Linnaeus University. During my studies, I spent two years working as a Research Assistant, where I helped develop real-world systems that remain in use and contributed to published research.
| Project | What it demonstrates |
|---|---|
| Medical Visual Analytics Platform | Multimodal medical-case exploration using BioBERT, PubMedCLIP, UMAP, Nuxt, D3.js, and FastAPI. |
| AI Impact on Occupations | Interactive D3.js analysis of the projected impact of AI on more than 400 occupations. |
| Global Demographics Dashboard | Coordinated interactive visualizations for exploring population data across 233 countries. |
| Parallel and Distributed Computing | High-performance matrix multiplication using SIMD, OpenMP, MPI, and CUDA. |
- Awaits: An AI-assisted writing feedback platform for students and teachers.
- Inkuis: A bilingual event-discovery platform with location search, automated categorization, and AI-assisted features.
- Languages: TypeScript, JavaScript, Python, C++, Java, Dart, and SQL
- Applications: Vue, Nuxt, React, Flutter, FastAPI, Node.js, and MongoDB
- AI and data: PyTorch, TensorFlow, BioBERT, multimodal embeddings, D3.js, and visual analytics
- Engineering: Docker, CI/CD, Git, parallel computing, and GPU programming