Alireza Miri

- Extended the interpretable ML model IGANN with hard monotonicity constraints using CVXPY-based optimization. - Developed a Flask web app where users can set feature-level rules, retrain models live, and explore updated shape functions. - Designed and evaluated a controlled user study on trust, acceptance, and model exploration. - Technologies: Python, PyTorch, scikit-learn, CVXPY, Flask, matplotlib, Git.

- Digitized and structured historical customer and project records from paper archives. - Developed Python-based workflows for device recommendation, infrastructure planning, and cost estimation. - Created data-driven customer proposals and technical decision support materials. - Mentored 2–3 junior engineers in extending internal analysis and calculator tools.

- Simulated, produced, and characterized multi-layer anti-reflection coatings for optical applications. - Designed and built a contact-angle measurement device for hydrophobicity / surface-wetting analysis. - Developed image-analysis workflows for extracting droplet-surface angles from measurement images. - Tools: SOLIDWORKS, NASCAM, OriginLab, Excel, MATLAB.

- Analysed diagnostic medical-device test data using MATLAB, OriginLab, and Excel. - Performed curve fitting, basic statistics, and materials-focused interpretation. - Supported design and repair decisions through structured analysis of measurement data.

with focus on Data Science and Machine Learning