I work with machine learning, data analysis, and applied research. I enjoy understanding problems, exploring different approaches, and finding practical solutions rather than focusing on technology for its own sake.
| Programming | Machine Learning | Data Analytics | Methods & Practices |
|---|---|---|---|
|
Python Julia Java |
PyTorch JAX TensorFlow scikit-learn |
pandas NumPy Power BI PostgreSQL |
Statistical analysis Computer vision Reinforcement learning Agile/Scrum |
- Water Meter OCR — JAX/Flax reimplementation of a Tensorflow internship project. ROI detection and sequence recognition.
- Gradient-Free Reinforcement Learning — LunarLander policy optimization with PyTorch and JAX.
- Spoken-Digit Recognition — MFCC audio features and PyTorch convolutional classification.
- Consumer Adoption Analytics — Power BI dashboard of consumer survey data.
