Ilya Trofimov
Big Data EngineerResearch Scientist
Applied AI Institute
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Scientist
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 am an ML/AI professional with 15 years of industrial and academic experience.
Вычислительный центр РАН (ФИЦ ИУ РАН)
Doctor of Philosophy - PhD, computer science
February 1, 2014 – February 1, 2019
Yandex School of Data Analysis
Master's degree, Internet Data Analysis
January 1, 2009 – January 1, 2011
Московский Государственный Университет им. М.В. Ломоносова (МГУ) / Lomonosov Moscow State University (MSU)
M.Sc & B.Sc, Theoretical Physics
January 1, 2000 – January 1, 2006
Applied AI Institute
Research Scientist
March 1, 2025 – Present
Skolkovo Institute of Science and Technology
Research Scientist
August 1, 2019 – March 1, 2025
Яндекс.Маркет
Principal Data Scientist
April 1, 2017 – August 1, 2019
Yandex Data Factory
Principal Data Scientist
March 1, 2014 – April 1, 2017
Yandex
Data Scientist / Principal Data Scientist
October 1, 2010 – March 1, 2014
Teploinform Ltd.
CTO, co-founder
January 1, 2007 – October 1, 2010
Moscow
BIAT Ltd
Software Engineer
January 1, 2005 – January 1, 2007
Moscow
Cultural Fit Analysis
The candidate has a strong background in research and data science within large tech companies (Yandex) and academic institutions. While their experience is deep in ML/AI, the direct alignment with core Big Data Engineering (e.g., distributed systems architecture, data pipeline optimization, specific Big Data technologies like Spark, Kafka, Hadoop ecosystem beyond Map/Reduce) is not explicitly detailed. This might indicate a need for upskilling in specific engineering practices for a pure Big Data Engineer role, though their analytical and data processing background is a strong foundation. The diversity of projects (forecasting, recommendations, advertising optimization) shows adaptability.
Soft Skills & Operational Fit
The candidate's extensive experience in research and leadership roles suggests strong problem-solving, analytical thinking, and project management skills. Their work on competitive industrial solutions indicates a results-oriented approach. However, specific details on collaboration styles or stress handling are not available from the provided data.