Position: Tech writer
Category: Marketing
English level: fluent
Years of experience: 7

1. Built an effective content marketing strategy for the Kubernetes-based software platform from scratch. The strategy helped substantially increase blog readership, generate leads, and attract gifted developers interested in the platform we were building to the team.    
2. Together with other members on the team I contributed to the development of comprehensive software documentation. 
3. Successfully presented  my company's software product to potential customers at tech events such as KubeCon + CloudNativeCon Europe which helped generate hot leads. 
4. Successfully implemented convolutional and generative-adversarial neural networks from scratch following instructions from original papers. My motivation was to learn by doing :)
For the past several years, I've been working with several tech companies writing about Artificial Intelligence and Machine Learning, data analytics, cloud computing, container technology, and Kubernetes. I've had the experience of managing the full content pipeline from topic proposals, editing, to publishing.

Recently, I decided to focus exclusively on Artificial Intelligence, Machine Learning and Data Science. I have completed several ML and Deep Learning courses and I am actively building foundations in math, statistics, and data science. At this point, I can process, understand, and present complex AI/ML content including scholarly research papers and articles. Also, I can convey AI/ML concepts to the general audiences using simple although not 'simplistic' language. The same applies to my ability to produce content tailored to product marketing and promotion needs. In my tech writing, I take advantage of my familiarity with Javascript, Python, several scientific and Machine Learning libraries (NumPy, SciPy, Scikit-learn, Keras,  Tensorflow) and experience of reproducing several ML algorithms for computer vision from scratch (for learning purposes). I am very passionate about the field of Machine Learning and excited to advance the voice of companies contributing to its development.