Majd Jamal
I build machine learning systems that help teams forecast outcomes, identify unusual patterns and analyse documents with LLMs. I’m open to new roles in data science and machine learning.
Svenska kraftnät — Sweden's transmission system operator (TSO)
Oct 2026 – present · consulting assignment through A-Talent Tech
I develop regression models to forecast imbalances in Sweden's electricity system, drawing on published research.
Riksrevisionen — Swedish National Audit Office
Oct 2022 – Aug 2026
I developed tools to help auditors identify unusual transactions in general ledgers, retrieve relevant documents using RAG and analyse text with LLMs.
Pensel Konst Sverige AB
Dec 2023 – Jun 2025 · founded and built alongside full-time employment
As co-founder and CTO, I built the technology behind an e-commerce service that turned customer descriptions into AI-generated artwork, delivered as framed prints.
KTH Royal Institute of Technology
Sep 2021 – Oct 2022; 2026 – present
I teach artificial neural networks and probabilistic models to master's and doctoral students, and assess their coursework.
2016 – 2022
M.Sc. in Computer Science, specialising in Machine Learning — 2022
Thesis with Saab Aeronautics: domain adaptation for object detection in aerial imagery
I explain how a neural network learns, using a board and marker to make the mathematics easier to follow.
PyTorch, TensorFlow, scikit-learn; transfer learning.
Hybrid retrieval with BM25, FAISS and Reciprocal Rank Fusion; embeddings; local LLMs served through Ollama.
Docker Compose; continuous integration (CI) and testing; APIs with FastAPI.
Python, SQL and PostgreSQL.
Fluent in Swedish, English and Arabic; basic Spanish.
Creating value means making technology easy to adopt and access.
