Position: Machine Learning Engineer
Category: Data Science
English level: intermediate
Years of experience: 3

+ Master degree in Applied Physics and Plasma Physics, strong mathematical background
+ Participated in Kaggle competitions
+ Developed Reinforcement Learning framework including q-learning, policy gradient, actor-critic algorithms applied to game playing. Used technologies are Python+Pytorch
Data Scientist
 + Developed models to forecast stock exchange prices (time series data) using Python + TensorFlow/Keras
 + Developed ML framework for training and validating time series models
 + Done educational project on Computer Vision on Kaggle - Bengali.AI Handwritten Grapheme Classification
 + Gathered and marked economic news data
 + Integrated news data into time series prediction model with recurrent neural networks
 + Analyzed data of S&P500 stock prices, news articles, fundamental economic data, created reports for stakeholders

Machine Learning Engineer
 + Developed MVP of Neuroseed machine learning service for uploading and storing datasets, training, validating, making ML models inference on Python+TensorFlow/Keras
 + Designed and implemented REST API for MVP using Python+Falcon
 + Created and ran services in Docker containers
 + Worked on Proof Of Concept of Transfer Learning for various ML models
 + Administered MongoDB database
 + Made automatic tests with PyTest

Personal Interests
 + Deep Reinforcement Learning
 + Have used Ubuntu Linux for work for 4+ years
 + Developed GUI programs in QT C++
 + Have experience with Arduino microcontrollers and Raspberry Pi microcomputers programming
 + Have game development and modification experience Unity/C#
I'm looking for work on machine learning, neural networks, NLP, Reinforcement Learning.