
Head of AI at Songsterr
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I build elegant full-stack data-driven solutions, from architecting the data pipeline to implementing. Experienced in: - Processing unstructured data, image analysis and recognition - Deep learning models for music analysis - Distributed systems - Bayesian modelling and probabilistic data analysis - E-commerce platforms
Moscow State University of Economics, Statistics and Informatics (MESI)
Doctor of Philosophy (Ph.D.), Computer Systems Analysis
January 1, 2011 – January 1, 2011
Moscow State Institute of Radio Engineering, Electronics and Automation (Technical University)
Specialist (5.5 years), Computer Science
January 1, 2005 – January 1, 2011
Songsterr
Head of Artificial Intelligence
February 1, 2023 – Present
Atelier
Founder
March 1, 2022 – June 1, 2023
Barcelona, Catalonia, Spain · Remote
LabL
Fonder & CEO
September 1, 2020 – January 1, 2022
Barcelona, Catalonia, Spain · Remote
Christie's
System Architect / Machine Learning specialist (Christie’s Emerging Technology Group)
December 1, 2014 – September 1, 2020
Channelkit
CTO
March 1, 2013 – December 1, 2017
Matchbook
Lead ruby developer
March 1, 2012 – December 1, 2012
Libatious
Rails Developer
April 1, 2011 – February 1, 2012
Rails developer
Ruby on Rails developer
September 1, 2010 – March 1, 2012
Bamboo Commerce
Founder
September 1, 2010 – June 1, 2012
Cultural Fit Analysis
The candidate has a diverse background, including founding multiple companies and working in various industries (music, e-commerce, art market). This indicates adaptability and an entrepreneurial spirit. The target role of ML Engineer aligns well with recent experience as 'Head of Artificial Intelligence' and 'Machine Learning specialist'. However, the long history in Ruby on Rails development, while demonstrating versatility, might suggest a broader technical interest than a focused ML engineering role typically requires, potentially impacting cultural fit for a highly specialized ML team.
Soft Skills & Operational Fit
The candidate's experience as a founder and in leadership roles suggests strong initiative, problem-solving, and strategic thinking. The descriptions of architecting systems and leading teams imply good organizational and collaboration skills. However, without specific psychometric test results or interview data, a detailed assessment of operational fit and soft skills is limited.