

Languages
Python
Machine Learning
Deep neural networks, transfer learning, NLP, CNNs, regression, classification, clustering, dimensionality reduction, model ensembles, pandas, numpy, scikit-learn, PyTorch, fast.ai
Productionization
AWS, Terraform, Serverless Framework, Docker, Luigi, CircleCI
Daniel is a PhD Synthetic Biologist turned Data Scientist. At Very, his focus is on developing scalable, production-ready machine learning pipelines for industrial applications.
In addition to solving complex machine learning problems, Daniel also likes bicycling, running, and cooking.