Education

M.S., Computer Science

September 2018

University of Tartu, Estonia

  • Thesis: Replicating DeepMind StarCraft II RL Benchmark with Actor-Critic Methods

B.S., Mathematical Statistics

September 2014 - July 2018

University of Tartu, Estonia

Employment

Research Engineer

March 2020

DeepMind, London, UK

Research Engineer Intern

June 2019 - September 2019

DeepMind, London, UK

  • Contributed to AlphaStar's league system development and launch on the Battle.net
  • Created proof-of-concept ML framework in JAX, showcased with CV and NLP models

Research Assistant

February 2018 - February 2020

Comput. Neuroscience Research Group

  • Assisted with research and engineering in the domain of deep reinforcement learning

Research Assistant

June 2018 - December 2018

PerkinElmer

  • Improved instance segmentation pipeline in fluorescent medical imaging

Senior Web Developer

September 2011 - February 2015

KNP Labs

  • Developed and suppored complex web based applications (banking, education, retail)
  • Coached junior developers with hands-on workshops, pair programming sessions, PR reviews

Web Developer

September 2010 - September 2011

Attitude OÜ

  • Developed and supported web based applications

Skills

Expert in

  • Python, PHP, JavaScript
  • Keras, Symfony, Doctrine, Angular
  • git

Proficient in

  • C++, R, Java, HTML, CSS
  • Tensorflow, PyTorch, NumPy, SciPy
  • AWS

Experience in

  • Bash, MATLAB, SAS, LaTeX
  • Caffe, Theano, OpenCV
  • vim

Open Source

Talks

  • Reinforcement Learning (Guest Lecture, University of Tartu) - December 2018
  • Deep Reinforcement Learning (DevClub, Tallinn) - June 2018
  • Behavior Driven Development with Behat and Mink (DevClub, Tallinn) - January 2013

Teaching

  • Neural Networks, TA (University of Tartu) - Spring 2019
  • Deep Reinforcement Learning, TA (University of Tartu) - Autumn 2018

Competitions

  • Kaggle 2018 Data Science Bowl (277/3634, team) - April 2018
  • Codingame AI Contest Coders of the Caribbean (28/3623) - April 2017
  • Hackerrank University World Cup (22/4466, team) - September 2015
  • IEEEXtreme 8.0 (208/1853, team) - September 2014

Awards

  • Estonian National Contest for University Students, B.S. programme, 2nd prize - December 2018
  • DevClub Best Talk Award - December 2018
  • Cybernetica AS Master's Fellowship - October 2018

Relevant Coursework

Information Theory, Stochastic Processes, Matrix Calculus, Monte-Carlo Methods, Machine Learning, Neural Networks, Data Analysis I-II, Numerical Analysis, Mathematical Analysis I-III, Probability Theory & Statistics I-II, Algebra (Abstract & Linear)

Online: Machine Learning (Stanford CS229), CNNs for Visual Recognition (Stanford CS231n), Deep Learning for NLP (Stanford CS224d), Intro to AI (Berkeley CS188), DRL Bootcamp (Berkeley), Reinforcement Learning (UCL), Deep Reinforcement Learning (Berkeley CS294)