Authors
Aleksandr Vasilev
St. Petersburg, Russia
Blog posts:
February 22, 2020
Understanding search query intent with deep learning
Aleksey Romanov
Blog posts:
February 22, 2020
Understanding search query intent with deep learning
September 25, 2019
How deep learning improves recommendations for 80% of your catalog
Blog posts:
March 08, 2019
Safety stock optimization for Ship-from-Store
August 07, 2018
Predictive analytics for promotion and price optimization
Andrey Chevozerov
Senior iOS Developer
Blog posts:
December 19, 2017
How to use Solr suggester for autocomplete and typeahead search
February 28, 2017
How to sort parent documents by child attributes in Solr
February 22, 2017
Implementing autocomplete with Solr
Anna Muslimova
Blog posts:
Blog posts:
January 10, 2017
Chatbots in retail: chatbot technology and architecture advance
December 02, 2016
Visualizing insights with an analytics dashboard
November 28, 2016
Selecting, training, evaluating, and tuning the model
Blog posts:
Blog posts:
October 11, 2016
Six design principles of Continuous Performance Testing
September 21, 2016
How to extend CI pipelines with Continuous Performance Testing
Dmitry Mezhensky
Architect in Engineering
Blog posts:
Dmitry Sobolev
Blog posts:
March 13, 2020
Boosting product discovery with semantic search
December 06, 2018
How automated merchandising tools can improve online product discovery
Dmitry Sumtsov
Android Specialist Practice Director, UI Technologies in Delivery Management
Blog posts:
February 13, 2019
Why Flutter should be your next mobile development framework
February 22, 2018
How to build a DIY Magic Mirror out of commodity hardware and augmented reality APIs
December 05, 2017
Introducing augmented reality for e-commerce
Blog posts:
Blog posts:
Blog posts:
April 07, 2020
How to replatform Endeca rules to Solr
March 13, 2020
Boosting product discovery with semantic search
March 12, 2020
Smart autocomplete for Replacements.com drives revenue
Evgeniia Mikhailova
Blog posts:
February 28, 2020
Relevant facets: how to select and promote facets with deep learning
Ezra Berger
Blog posts:
January 21, 2020
Delivering digital transformation:
Why automation and creating a high-performance engineering culture are vital to digital success
November 13, 2019
What is computer vision and what can it do?
Igor Kononov
Blog posts:
Ihor Syrov
Blog posts:
April 06, 2020
A rapid response to COVID-19
supply chain and market shocks: Emerge from the crisis stronger
February 11, 2020
Deep reinforcement learning for supply chain and price optimization
Blog posts:
February 14, 2018
How to implement autocomplete search for large-scale e-commerce catalogs
December 12, 2016
Why e-commerce search engines must be aware of inventory
Blog posts:
Jiaye Pan
Data Science Intern
Blog posts:
Blog posts:
December 02, 2016
Visualizing insights with an analytics dashboard
November 28, 2016
Selecting, training, evaluating, and tuning the model
November 18, 2016
Creating training and test data sets and preparing the data
Blog posts:
February 22, 2017
Implementing autocomplete with Solr
Maksym Usichenko
Delivery Manager
Blog posts:
Maria Dyuldina
Saint Petersburg
Mariia Fedorova
Blog posts:
Markering Tools
Blog posts:
Blog posts:
April 06, 2020
A rapid response to COVID-19
supply chain and market shocks: Emerge from the crisis stronger
February 03, 2020
Unified commerce: Making the most of a true omnichannel experience
Blog posts:
August 31, 2016
A Frustrating Personal Experience with Unfaceted Search
August 26, 2016
Searching grandchildren and siblings with Solr Block Join
August 16, 2016
The segmented filter cache and Block Join Query Parser in Solr
Blog posts:
October 04, 2017
Continuous Performance Testing (CPT) with Jagger
October 11, 2016
Six design principles of Continuous Performance Testing
September 21, 2016
How to extend CI pipelines with Continuous Performance Testing
Blog posts:
Blog posts:
August 09, 2016
How to implement Block Join Faceting in Solr/Lucene
July 20, 2016
Introduction to Block Join Faceting in Solr
Sergei Parshev
Senior Deployment Engineer in DevOps
Blog posts:
December 20, 2018
Developing a modular pipeline library to improve DevOps collaboration
Sergey Parakhin
Blog posts:
Blog posts:
Blog posts:
July 10, 2016
In-Stream Processing service blueprint
May 05, 2016
How In-Stream Processing works
Stanislav Livotov
Timofey Durakov
Staff Data Scientist in Engineering: Machine Learning
Blog posts:
Victor Chistyakov
Staff Software Engineer in Kharkov
Blog posts:
Blog posts:
October 11, 2016
Six design principles of Continuous Performance Testing
September 21, 2016
How to extend CI pipelines with Continuous Performance Testing
September 05, 2016
Challenges of Continuous Performance Testing
Blog posts:
March 30, 2020
Launch new digital services faster with distributed teams and agile co-creation delivery model
February 13, 2019
Why Flutter should be your next mobile development framework
Vitalii Ruban
Vladimir Katson
Technical Architect
Vladimir Kondraschenko
Senior Architect in Engineering: Architect
Blog posts:
Blog posts:
February 27, 2019
Identifying screws, a practical case study for visual search
Vladislav Trofimov
Staff Search Developer in Delivery
Blog posts:
February 14, 2018
How to implement autocomplete search for large-scale e-commerce catalogs
Blog posts:
Blog posts:
October 17, 2017
Developing real-time applications on AWS ELB without WebSocket
Dmitry Sobolev
Dmitry Sobolev is a senior business analyst at Grid Dynamics since 2009, when he joined the company. His main area of expertise is perfecting product discovery for e-commerce stores. In the last 9 years at Grid he has participated in a number of different projects related to products search and navigation, search autocomplete, merchandizing rules, content management and business intelligence tools around product discovery. Dmitry earned a Master degree in Computer science from St. Petersburg University of Information Technologies, Mechanics and Optics.
Blog posts:
March 13, 2020
Boosting product discovery with semantic search
December 06, 2018
How automated merchandising tools can improve online product discovery