I'm a Machine Learning Engineer working in the Life Sciences.
- Programming Languages: Python, SQL, Rust, C++
- Frameworks and Libraries: PyTorch, TensorFlow, SciPy, Mlflow, Wandb, AWS, GCP, Terraform, Docker
- Data Analysis and Visualization: Matplotlib, Plotly, Streamlit, Gradio
- Machine Learning and AI: Protein Language Models, Molecular GNNs, Semantic Segmentation, Object Detection, Classification, Image Denoising, Image Generation, Sequence Modelling
- Databases: RDS, BigQuery, DynamoDB, Microsoft SQL Stack
- 𧬠Proteins and Small Molecules (Molecule Generation, Property Prediction, Virtual Screening, Semantic Search)
- π¦ Super-Resolution Microscopy (Segmentation, Denoising, Classification)
- π« MRI (Segmentation, Image Generation, Metrics Calculation)
- ποΈ Retail Banking (Clustering, Churn Prediction, Customer Lifetime Value)