As a expert in StyleGAN and Tensorflow I can surely teach you and help you anything you want .
Currently at the California Institute of Technology (Caltech), previously Bloomberg LP and Anheuser-Busch InBev. Research focus is on semisupervised generative models. Strong background in distributed computing stacks (Spark, Kafka, Hadoop; Docker, Kubernetes), most common dataflow frameworks (Tensorflow, PyTorch), and a number of higher-level machine learning libraries (Keras, Spacy, NLTK).
I am a highly versatile machine learning engineer and data scientist with 5 years of commercial experience and successful history of machine learning and data processing contests. During my career, I have performed a variety of roles: developer, research engineer, consultant, and solutions architect. I believe in T-shaped skills, therefore I have wide interests in technology in general, but my deepest knowledge is in machine learning, software architecture, and cloud computing.
My experience:
- Building and testing machine learning models
- Computer Vision
- Deep learning
- Natural Language Processing
- Time series analysis
- Development of REST services with analysis background
- Integrating machine learning algorithms
- Building data analysis APIs
My main areas of expertise are Data science, Machine learning, Python.
Skills:
- Languages/technologies: Python, C/C#, nodejs
- Frameworks: TensorFlow, Caffe, Keras
- Libraries: Numpy, Scikit-Learn, Matplotlib, SciPy, Pandas, NLTK, LightGBM,