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Senior Software Engineer, Robotics @ NVIDIA
Software Engineer and Applied Researcher, applying Deep Learning to build systems from 2010, two years before AlexNet, a decade before it became mainstream. I'm currently with applied research at NVIDIA. MSCS [2003], U.S. citizen, private pilot. C/C++/Python/Prompt. Industry track publications/talks: NIPS 2010, PAN/CLEF 2010, CVPR 2016, NIPS 2017. Engineering experience in the following fields: Natural Language Processing (2009), Computer Vision (2010-12), High-Frequency Trading (2012-16), AR & Computer Vision (2016-17), Language Models applied to Code (2017), Autonomous Driving (2017-18), Robotics (2019-2022), Robotics and VLMs (2022-Present).
Stanford University
Continuing Studies, post-graduate, Data Mining and Applications
January 1, 2010 – January 1, 2012
Bauman Moscow State Technical University
Master Degree, Computer Science
January 1, 1997 – January 1, 2003
NVIDIA
Senior Software Engineer, Robotics @ NVIDIA
May 1, 2019 – Present
San Francisco Bay Area
NVIDIA
Senior Solution Architect @ NVIDIA
August 1, 2017 – April 1, 2019
San Francisco Bay Area
Articoder
Founder. Research Engineer.
March 1, 2017 – Present
Sunnyvale, CA
DAQRI
Senior Computer Vision Engineer
January 1, 2016 – March 1, 2017
Sunnyvale, CA
XAMBALA
Senior Software Engineer, High Frequency Trading
April 1, 2012 – October 1, 2016
Sunnyvale
flutter.io
Research Engineer, Founding Team member
December 1, 2010 – February 1, 2012
Palo Alto, CA
SonicWALL, Inc.
Staff Software Engineer
January 1, 2008 – January 1, 2011
Mountain View, CA
Linkbit Inc.
Senior Software Engineer (full time), Technical Advisor (part time)
October 1, 2004 – January 1, 2012
Santa Clara, CA
Technotest Inc.
Lead Software Engineer
January 1, 2003 – January 1, 2004
Moscow, Russia
LaudLink Inc.
Software Developer (Intern/Part Time position)
January 1, 2000 – January 1, 2003
Moscow, Moscow City, Russia
PRAIS Telecom
Software Engineer, Intern
January 1, 1997 – January 1, 1998
Moscow, Moscow City, Russia
OKB MEI
High School Student, Intern. in the student team, under OKB MEI supervision
January 1, 1996 – January 1, 1996
Moscow, Moscow City, Russia
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Middle School Student, Intern. in the Medical Test Equipment Company
January 1, 1992 – January 1, 1994
Moscow, Moscow City, Russia
Introduction to Artificial Intelligence
AI Class. Sebastian Thrun, Ph.D. & Peter Norvig, Ph.D.
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across robotics, self-driving cars, augmented reality, high-frequency trading, and even early telecom/medical equipment development demonstrates a broad interest in challenging technical domains. The continuous learning (Stanford, AI Class) and entrepreneurial spirit (Articoder, flutter.io founding team) suggest a proactive and growth-oriented mindset. The long career trajectory indicates stability and commitment, which are positive cultural indicators. The candidate's experience with cutting-edge technologies like LLMs and Omniverse at NVIDIA also shows an ability to stay current and adapt to new paradigms.
Soft Skills & Operational Fit
The candidate's extensive experience in R&D, team leadership, and founding roles suggests strong problem-solving, innovation, and initiative. The descriptions of working in agile teams and sharing research/engineering roles indicate adaptability and collaborative potential. The long tenure in demanding technical fields implies resilience and a strong work ethic.