Machine Learning
Laser Weld Defect Inspection
Interpretable machine learning for detecting laser-weld defects from thermal camera images, using physics-motivated features and validation grouped by weld.
- Python
- Image Analysis
- scikit-learn
- SHAP
Optical Engineering · Data Science · Python & Machine Learning
Gent, BelgiumDeep Punj, PhD
I am an optical engineer and researcher connecting physical measurement with scientific software and applied machine learning. My Python and SQL projects explore photonic coupling, interpretable weld inspection and synthetic healthcare records; a Power BI study complements this work with public-data analytics.
01 / Selected work
Engineering insight. Practical tools.
Primary discipline
Optics & Photonics
Photonic Coupling & Assembly Tolerance
A Python simulation study connecting SiN edge-coupler mode design, optical coupling, alignment tolerance and assembly yield.
- Photonics
- Numerical Modelling
- Monte Carlo
- Python
Machine Learning
Healthcare Risk Prioritisation
An end-to-end PostgreSQL and machine-learning workflow for prioritising future kidney-disease diagnoses in synthetic health records.
- PostgreSQL
- SQL
- scikit-learn
- MLflow
Analytics
FDA Drug Shortages Analytics
A Power BI dashboard exploring US drug-shortage listings by therapeutic category, manufacturer and duration.
- Power BI
- Power Query
- DAX
- Data Visualisation
02 / Connected capabilities
Expertise, demonstrated through work
Optical engineering & imaging
Simulated optical coupling and assembly tolerance, complemented by thermal-image analysis of laser welds.
Scientific Python & software
Data-processing workflows, numerical analysis, visualisation and practical scientific tools.
Applied machine learning
Feature engineering, model comparison, grouped or temporal evaluation and interpretable results.
Data analysis & communication
SQL, pandas, Power BI and clear communication of analytical findings.
03 / About
Physics, measurement
& data.
My background is in optical engineering and biomedical research, including laser systems, microscopy, scientific instrumentation and experimental data analysis.
Alongside this work, I develop practical capabilities in scientific software, SQL and machine learning. I am particularly interested in problems where understanding the measurement, the underlying physics and the data all matter.
Gent, Belgium