Position: Data Scientist/Deep Learning
Category: Data Science
English level: fluent
Years of experience: 3

Without using pre-trained solutions, only raw papers and understanding of signal itself, built solution in 2.5 years which now is used by different clients all over the word. 
Started as trainee, now leading a small team.
The project I am working on is different signals interpretation using NN. The project itself was built almost from scratch. At the start, I was only responsible for building and training nets and pre/post-process backend. Also, I am responsible for analytical backend of our product which gives necessary statistics for our customers. I am in charge of all Python-related backend(including NN), I cooperate with other teams and consult clients about how our algorithms work.

Neural nets construction, training and validation(tensorflow, pytorch). CNN, tranformers, GAN.

Python is my main instrument. In-depth understanding of scientific stack(numpy, pandas, scikit,...) for solving different problems; good understanding of common backend libraries(RabbitMQ, proto, grpc) which have been used for I/O between different services; also a big fan of numba and CuPy for time and memory optimizations. 

SQL, noSQL
Nothing related to "how to score even more money for our business".
Couldn't stand discrimination in any form especially at work.