Email: amirrahnama at gmail.com
Citizenship: Iran, Sweden
Languages: Swedish, English
Education
| Year | Degree | Institution | Location |
|---|---|---|---|
| 2019 – 2023 | Ph.D. Machine Learning | KTH Royal Institute of Technology | Stockholm, Sweden |
| 2011 – 2014 | M.Sc. Information Technology | University of Jyväskylä | Jyväskylä, Finland |
| 2008 – 2011 | B.Sc. Applied Mathematics | Kharazmi University | Tehran, Iran |
Work Experience
Senior Machine Learning Engineer — All Ears AB (Sweden)
Oct 2024 – Present
• Optimise speech-recognition and build topic-model / sentiment pipelines over large-scale social-media audio & text.
Senior Machine Learning Engineer — Capgemini (Sweden)
Oct 2024 – Aug 2025
• Member of GAIA team developing graph-based ML & RAG solutions for payment-fraud detection.
• Stack: Python, Neo4j, PyTorch, Docker, Deep-seek v3.
Machine Learning Engineer — KTH Royal Institute of Technology
Jan 2023 – Sep 2024
• Built & deployed ML models for predictive maintenance (Scania), personalised medication (AstraZeneca) and LLM evaluation.
• Cloud deployments on Docker.
Machine Learning Research Intern — Spotify
May 2020 – Sep 2020
• Developed TensorFlow search-and-recommendation model on GCP; production-ready & explainable.
Data Scientist / Team Lead (Consultant) — Iteam Solutions AB
Oct 2015 – Oct 2018
• End-to-end ML pipelines, data visualisations, cloud deployments.
• Example: fair taxi-fare estimator (+20 % retention) for Taxi Stockholm.
• Example: unemployment-client clustering saving 100s hours/week for TRR.
Data Engineer & Scientist — Gapminder Foundation
Mar 2013 – Sep 2015
• Python pipelines & D3.js visualisations for gapminder.org/tools.
Skills
| Category | Tools / Frameworks | Level (1–5) |
|---|---|---|
| Programming | Python | 5 |
| Node.js | 4 | |
| ML Frameworks | PyTorch | 4 |
| HuggingFace Transformers | 4 | |
| Scikit-Learn | 5 | |
| TensorFlow | 3 | |
| GenAI / LLMs | LangChain, RAG | 3 |
| MLOps | Kubeflow, MLflow | 3 |
| Analytics | Tableau, PowerBI | 4 |
| Databases | MongoDB | 3 |
| Elasticsearch | 4 | |
| SQL Server | 3 |
Complete PDF available on request.