Position: Python Developer (AI)
Category: Python
English level: fluent
Years of experience: 3


I can call myself a person-orchestra in Data domain. 
As a Software Engineer (Python, 2 years) I was a part of small team which developed an infrastructure from scratch which consisted of a group of web-scrapers, text-processors, machine learning services, (I personally developed a binary classifier and built a service with an endpoint for it), LSH service and DB (I wasn't involved much with the last two). We used CI/CD, wrote tests, release versions to get feedback from Data Entry Team. 
Also, I had an experience of developing a web-bot using Selenium (for another project). There I used 3rd party API and set up a remote server where I built a simple firewall, set GUI (because of the specifics of the web source) and deployed my bot. The main difficulty was that the web site had a lot of tools to detect the automatization Bots and this was a continuous battle.
As a Data Scientist with it's more wide range of tasks (1 year+) I used to work as an assistant at online Academy which gave me a wide perspective of different AI algorithms and tasks and later as I mentioned before (in another company) I wrote a binary Text classifier on PyTorch. I also used to write in Keras (online academy) and later wrote a DQN prototype in TF2. I also used to wrote queries in Snowflake to get data and did Analytics in Jupyter Notebook (being Data Scientist in e-commerce domain)
Currently I am looking for a place where I could be useful with my variety of skills and where I could profound them towards my goal - I am interested in pursuing a career of ML Engineer.
Thus, there are a lot of things to practice, sush as different IaaS, Data Engineering tools and work with Databases.
Anyway, I consider myself a truly Engineering type of person, when there are no unsolvable tasks, but not enough time to solve them