Artem Danilov is a Sales Application Engineer based in Berkeley with 11 years of experience at the intersection of nanoscale instrumentation, applied physics, and customer-facing engineering. Holding a PhD in Physics and degrees from MIPT, he blends deep technical expertise with hands-on sales and service roles across international scientific instrumentation companies. At attocube and neaspec he translates complex nanoscale analytics into deployable solutions for research and industry customers, while previously managing key accounts and service teams. He is also an active back-end contributor to the Vendure e-commerce platform, where he has improved Elasticsearch indexing and fixed core ordering and product-query issues—an uncommon crossover that highlights his ability to move between scientific hardware and production software. Known for turning intricate technical problems into practical, customer-ready outcomes, he brings rigorous research training to applied engineering and sales.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Aix-Marseille University
Master's degree, Instrumentation, Master's degree, Instrumentation at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Bachelor of Science (BS), Applied Mathematics and Physics, Bachelor of Science (BS), Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
The commerce platform with customization in its DNA.
Role in this project:
Back-end Developer
Contributions:21 reviews, 18 commits, 17 PRs in 1 year 8 months
Contributions summary:Artem primarily focused on fixing and improving the Vendure e-commerce platform's core functionalities. Their contributions include resolving ordering issues in collection breadcrumbs and correcting product query issues by slug. Additionally, the user added functionality to the Elasticsearch plugin, specifically for facet and inStock filtering, and customized index options and mappings. The user also refactored the indexing process to enhance performance and corrected bugs in collection update event generation.
A headless GraphQL ecommerce framework for the modern web
Contributions:4 pushes, 2 branches in 10 days
ecommercejavascriptshopping-cartnodejsgraphql
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