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Research And Development Engineer at Diagnocat
Senior Deep Learning Research Engineer & Product Architect with 8+ years of driving product-led growth in the MedTech sector. As an engineer at Diagnocat, played a key role in scaling the company from a 3-person startup to a global leader with software in 50+ countries. Co-inventor of 5 US Patents and sole developer of major revenue-generating AI products (Implant, Orthodontic, and 3rd Molar reports) that increased clinical diagnostic efficiency by 20x. Proven expert in bridging the gap between novel 3D Computer Vision research and commercially viable, clinically validated medical devices. Deeply experienced in managing the full R&D lifecycle—from data annotation strategy and algorithm design to clinical validation and production deployment.
Innopolis University
Bachelor's degree, Computer Science
January 1, 2015 – January 1, 2017
Odessa Polytechnic National University
Software Engineering
January 1, 2013 – January 1, 2015
Diagnocat
Lead Research and Development Engineer
November 1, 2017 – May 1, 2025
Yerevan, Armenia · Remote
RoadAR
Consulting Data Scientist
September 1, 2017 – August 1, 2018
Innopolis, Tatarstan, Russia · Remote
INFOMED
Lead Deep Learning Engineer
June 1, 2017 – April 1, 2018
Innopolis, Tatarstan, Russia · Hybrid
Innopolis University
Data Scientist
March 1, 2016 – July 1, 2017
Innopolis, Tatarstan, Russia · On-site
Cultural Fit Analysis
The candidate has worked in diverse settings (full-time, part-time, contract, freelance) and across different application domains (medical imaging, automotive, academic research), indicating adaptability. The focus on R&D and innovative AI solutions suggests a fit for a forward-thinking, research-oriented culture. However, without specific cultural assessment data, this remains an inference.
Soft Skills & Operational Fit
The candidate's experience in lead and consulting roles suggests strong problem-solving, autonomy, and potentially good communication skills. However, without specific assessment data (e.g., English test, psychometric test results), a definitive evaluation of soft skills and operational fit is not possible.