
Founding Engineer @ poolside
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Assessing your cultural and operational fit
Google Developer Expert in Machine Learning (2018-2021). Strong applied math, machine learning, and system programming background. IELTS (8). I have authored 5 scientific papers (2 published on A-grade academic conference proceedings, 2 accepted to workshops), have written ~40 technical blog posts, and have spoken at ~50 conferences. I was lucky to manage a team of 9 machine learning engineers in 2017-2019. I love open source, and open source loves me too.
Moscow Institute of Physics and Technology
Master of Science (MSc), System Programming
January 1, 2006 – January 1, 2012
poolside
Founding Engineer
May 1, 2023 – Present
Madrid, Community of Madrid, Spain · Remote
Athenian
Head of Analytics and Machine Learning; Principal Engineer
December 1, 2019 – April 1, 2023
Madrid, Spain · Remote
source{d}
Distinguished Engineer - Machine Learning Team
May 1, 2016 – November 1, 2019
Greater Madrid Metropolitan Area · Hybrid
Mail.Ru Group
Leading Programmer (Machine Learning)
February 1, 2016 – May 1, 2016
Moscow · On-site
Moscow Institute of Physics and Technology (State University) - MIPT, Phystech
Teacher
September 1, 2015 – May 1, 2016
Moscow · On-site
Resystem
Backend Team Lead
September 1, 2015 – December 1, 2015
Moscow · On-site
Samsung R&D Institute Russia
Expert Engineer
July 1, 2012 – August 1, 2015
Moscow · On-site
Petrosoft LLC
Analyst
March 1, 2011 – June 1, 2012
Moscow · Remote
ISPRAS
Laborant
January 1, 2010 – May 1, 2012
Moscow · On-site
GrinMark
Junior Programmer
January 1, 2009 – December 1, 2009
Moscow · Remote
Moscow Institute of Physics and Technology (State University)
Technician
January 1, 2007 – June 1, 2010
Moscow · Remote
VELES (General Purpose Distributed Machine Learning Platform)
February 1, 2013 – Present
General Purpose Distributed Machine Learning Platform. Platform designed to create Machine Learning algorithms and applications with minimal programming effort using prepared building blocks. * 250 Units for ML workflow design * Automatic deployment on Cluster or any Linux Computer * Distributed training on Cloud with or without GPU (AMD OpenCL, NVIDIA CUDA) * ML Algorithms: Fully connected NN, Convolutional & deconvolutional, Genetic parameter optimization, RBM, DBM, Kohonen Map, Convolutional Autoencoder, Recurrent NN. * Frontend, GUI, IPython integration. * Collaborative online service to share ML Models – VELES Forge * Collaborative online tools to label Images. * Veles and Hadoop integration providing GPU cluster for Big Data analysis. Responsibilities: DIRECT PROJECT MANAGEMENT. Hiring, architecture design, software development, project management, customer reporting.
Multimedia Framework for TIZEN OS (P2P Multiuser Videoconferencing tool)
April 1, 2012 – December 1, 2012
Multimedia framework based on GStreamer and Video conference solution prototype for mobile Samsung Tizen platform. Porting open-source Multimedia Framework components to TIZEN. Developed P2P video conference solution for Tizen mobile phones and Inel PC. Responsibilities: DIRECT PROJECT MANAGEMENT: Project establishment, Staff hiring (12), communication with client, design architecture of the solution.
IELTS (8.0)
BKC IELTS Centre / RU006
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (startups, large corporations, academic institutions) and significant open-source contributions suggest adaptability and a proactive, collaborative mindset. Their roles as 'Founding Engineer', 'Head of Analytics and Machine Learning', and 'Distinguished Engineer' indicate a strong drive for innovation and impact. The breadth of technologies and problem domains (ML platforms, multimedia frameworks, anti-spam, LLMs) demonstrates a willingness to tackle varied challenges. However, the target role of 'Data Analyst' might be a step down from their 'Head of Analytics and Machine Learning' or 'Founding Engineer' roles, potentially indicating a mismatch in career progression or expectations, which could affect long-term cultural fit if not addressed.
Soft Skills & Operational Fit
The candidate's extensive experience in leading teams, managing projects, and contributing to open-source initiatives suggests strong collaboration, communication, and initiative. Their teaching experience also indicates an ability to explain complex concepts. The project descriptions highlight direct project management and hiring responsibilities, demonstrating leadership and operational capabilities. However, without specific psychometric or English test results, a full assessment of soft skills and operational fit is limited.