Artem Provodin
Backend EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning R&D Engineer at NVIDIA
Artem specialises in machine learning and AI. He recently was a junior research scientist at New York University, working with Larry Jackel, Urs Muller and Yann LeCun. His research centered on deep learning applied to computer vision and off-road mobile robot navigation. In particular, Artem is interested in a fully end-to-end machine learning with Convolutional/Recurrent Neural Networks architectures. Prior to NYU, Artem held research and industry roles in robotics and software development at Bosch Corporate Research and Technical University of Munich. Artem graduated from Novosibirsk State University with M.Sc. Degree in Applied Mathematics.
Novosibirsk State University (NSU)
Master’s Degree, Applied Mathematics and Informatics
January 1, 2005 – January 1, 2010
NVIDIA
Deep Learning R&D Engineer
October 1, 2016 – Present
Holmdel, NJ
Providens AI
Data Scientist
April 1, 2016 – October 1, 2016
New York University
Junior Research Scientist
April 1, 2014 – December 1, 2015
Greater New York City Area
FabliTec
Software Engineer
March 1, 2013 – January 1, 2014
Munich Area, Germany
Bosch Corporate Research
Robotics Intern
June 1, 2012 – October 1, 2012
Stuttgart Area, Germany
Technische Universität Dortmund
Software Developer at the Department of Industrial Robotics
January 1, 2011 – April 1, 2012
Dortmund Area, Germany
Intel Corporation
Software Engineer
April 1, 2010 – October 1, 2010
Novosibirsk Region, Russian Federation
Intel Corporation
Undergraduate Intern
November 1, 2008 – April 1, 2010
Novosibirsk Region, Russian Federation
Cultural Fit Analysis
The candidate's experience is primarily in research and development within AI, ML, and Robotics, which may not directly align with a typical Backend Engineer role focused on scalable systems, APIs, and data persistence. While the candidate has a strong technical background, the diversity of projects is within a specific domain, and direct alignment with a general backend engineering culture is not clearly demonstrated. The candidate's experience at large corporations like NVIDIA and Intel suggests an ability to work in structured environments.
Soft Skills & Operational Fit
The candidate's resume highlights roles in research and development, suggesting strong problem-solving and analytical skills. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided data. Operational fit for a Backend Engineer role is not directly evident from the provided experience, which is heavily skewed towards AI/ML/Robotics R&D.