Machine Learning & Software Engineer with 9+ years of experience in Custom ML projects, Computer Vision projects for Smart Cities including AIoT and on-premise solutions. I help companies build AI pipelines and MLOps platforms to provide a stable stream of value for their clients.
Mail
GitHub
LinkedIn
CV (eng)
My knowledge sharing:
Computer Vision Stream (YouTube)
MLOps tweets
I can help you with your AI and computer vision projects
Book: Brief consultation (SWE,
MLE, MLOps, CVE)
Book: One-on-one
consultation (SWE, MLE, MLOps, CVE)
I can help to become a better software engineer
Book: On-demand CV review (30min)
Other activities:
Paris DataBrunch: You can find me and other fellow Data Scientists/Engineers there every Saturday and discuss over a cup of coffee. (contact me in LinkedIn if you want to join)
Mambo Con Sabor Dance Company
Teaching |
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NSURL_101 : Introduction to reinforcement learning (spring 2020)Role: instructor ( 2020 ) webpage Introduction course to Reinforcement Learning for first-year Big Data Analytics master program. Subjects covered: MDP, VI, PI, Function Approximations (Q-learning), MAB, Policy optimization |
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NSURL_101 : Introduction to reinforcement learningRole: instructor ( 2019 ) webpage Introduction course to Reinforcement Learning for first-year Big Data Analytics master program. Subjects covered: MDP, VI, PI, Function Approximations (Q-learning), MAB, Policy optimization |
Reinforcement learning for long-term reward optimization in recommender systemsAnton Dorozhko ( 2019 ) draft / code / slides / text Reinforcement learning has got more traction in applications to recommender systems in 2018-2019. In this work we study the behaviour of DDPG algorithm againts classic baselines on MovieLens datasets. |
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Genetic algorithm for load balancing [rus]Anton Dorozhko ( 2015 ) code / slides / text Bachelor of Science graduation work under supervision of Yury Kochetov |