I’m a physicist and machine learning practitioner with a strong interest in quantum computing, scientific programming, and data-driven research. I enjoy working at the intersection of theory, computation, and real-world applications.
- Machine learning models for car price prediction (Random Forest, XGBoost, LightGBM)
- NLP pipelines for customer review analysis (topic modeling, sentiment analysis)
- Research-oriented projects in quantum computing, including quantum algorithms, quantum tomography, and numerical simulations
- Open-source projects in quantum computing (Qiskit, PennyLane, Cirq)
- Physics-informed machine learning and scientific computing
- Data science projects with real-world impact
- Research codebases in quantum control, photonic quantum systems
- Advanced machine learning and interpretability
- Quantum characterization and quantum control
- Scientific software engineering (testing, CI, benchmarking)
- MSc in Nanoscience & Nanotechnology (Quantum Computing) – KU Leuven & Chalmers
