Authors
Aleksandr Kvasov
Aleksandr Vasilev
St. Petersburg, Russia
Blog posts:
February 22, 2020
Understanding search query intent with deep learning
Aleksey Aleev
Blog posts:
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:
May 18, 2020
Unsupervised real time anomaly detection
Alexander Gaidukov
Blog posts:
Alexey Belyakov
Alexey Lyanguzov
St. Petersburg
Blog posts:
July 16, 2021
Data quality monitoring made easy
December 18, 2020
Private Mobile Device Farm as an Indicator of Mobile Testing Culture
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:
Anna Safonova
Saint-Petersburg, Russia
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
Arsenii Holdobin
Kharkiv, Ukraine
Blog posts:
Blog posts:
Danilo Djekic
Belgrade, Serbia
Blog posts:
February 16, 2021
Finding new COVID-19 treatments with Graph Convolutional Networks (GCN)
Dmitriy Bobkov
Dmitry Karachentsev
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:
January 21, 2021
Deploy Analytical Data Platform on AWS in One Day
Dmitry Rusyaikin
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:
Dmytro Rusin
Kharkiv
Egor Shchaev
Saint-Petersburg
Blog posts:
Blog posts:
Elena Salnikova
Blog posts:
Blog posts:
September 23, 2021
Key to understanding your search queries: Semantic query parsing with Lucidworks Fusion
January 14, 2021
How to recognize coins with deep learning visual model
Evgeniia Mikhailova
Blog posts:
February 28, 2020
Relevant facets: how to select and promote facets with deep learning
Ezra Berger
Gulnara Minasyan
Blog posts:
Igor Kononov
Blog posts:
Ihor Stetsiuk
Blog posts:
Ihor Syrov
Ilia Grabko
Saint-Petersburg
Blog posts:
Blog posts:
September 28, 2021
Advantages of a Next-Generation Customer Data Platform for a Top Tier Marketing Agency on AWS
September 24, 2021
Using the Google Cloud Platform
to accelerate delivery and reduce costs
Irina Panchenko
Blog posts:
October 07, 2021
How-to Guide: Building a Modern Customer Loyalty Engine
July 02, 2021
Reimaging Customer Loyalty with an Omnichannel Platform
May 20, 2021
Designing Point Based Loyalty Programs That Work
Blog posts:
February 14, 2018
How to implement autocomplete search for large-scale e-commerce catalogs
Blog posts:
Jake Jian
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
Kirill Arshuk-Popov
Blog posts:
Kirill Evstigneev
Blog posts:
November 17, 2020
Istio Service Mesh Beyond Kubernetes
October 13, 2020
CI/CD challenges of 2020
Blog posts:
February 22, 2017
Implementing autocomplete with Solr
Lilia Urmazova
Maksym Kmet
Lviv
Blog posts:
Maksym Kuznietsov
Kharkiv, Ukraine
Blog posts:
December 18, 2020
Private Mobile Device Farm as an Indicator of Mobile Testing Culture
Maksym Usichenko
Delivery Manager
Blog posts:
Maria Dyuldina
Saint Petersburg
Blog posts:
January 14, 2021
How to recognize coins with deep learning visual model
September 04, 2020
Vector space retrieval model for e-commerce
February 18, 2020
How to replatform Endeca rules to Elasticsearch
Maria Nilga
Ukraine, Kharkov
Mariia Fedorova
Blog posts:
Marko Nikolic
Belgrade
Blog posts:
Blog posts:
January 21, 2021
Deploy Analytical Data Platform on AWS in One Day
December 14, 2020
Dynamic Talks | Data Science
December 14, 2020
Industrial label recognition
Michael Ionkin
Blog posts:
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
Nikita Kaptsov
Saratov, Russia
Nikita Kotov
Blog posts:
Blog posts:
Nitin Sagi
Blog posts:
August 09, 2016
How to implement Block Join Faceting in Solr/Lucene
July 20, 2016
Introduction to Block Join Faceting in Solr
Oleg Smirnov
Blog posts:
Oleh Lukianykhin
Lviv
Blog posts:
Oleksandr Korniiets
Blog posts:
Rahul Bindlish
Roman Tomakh
Kharkiv
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:
October 15, 2020
Finding a needle in a haystack:
building a question answering system for online store
November 05, 2019
How we built a conversational AI for ordering flowers over Amazon Alexa or Google Home
November 15, 2018
Art.com helps customers find art they love with visual search
Blog posts:
Blog posts:
July 10, 2016
In-Stream Processing service blueprint
May 05, 2016
How In-Stream Processing works
Sevak Avetisyan
Saratov
Blog posts:
Sevil Smailova
Lviv
Blog posts:
Stanislav Livotov
Blog posts:
September 16, 2020
Semantic query parsing blueprint
April 07, 2020
How to replatform Endeca rules to Solr
Stanislav Stolpovskiy
Atlanta
Blog posts:
September 04, 2020
Vector space retrieval model for e-commerce
Svetlana Dobogoeva
Saint Petersburg, Russia
Blog posts:
Timofey Durakov
Staff Data Scientist in Engineering: Machine Learning
Blog posts:
Timofey Emelyanov
Saratov, Russia
Vasilii Kovalchenko
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:
Vladimir Nikiforov
St. Petersburg
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
Volodymyr Garkin
Blog posts:
Blog posts:
October 17, 2017
Developing real-time applications on AWS ELB without WebSocket
Yuliia Chudak
Kharkiv, Ukraine
Đorđe Šveljo
Belgrade, Serbia
Blog posts:
February 24, 2021
Using Next.js Image Component to Improve Your Website’s Performance
Victoria Livschitz
Founder and EVP of Customer Success
Victoria Livschitz founded Grid Dynamics in 2006 to bring new big ideas - cloud, open-source, DevOps and big data - to large enterprises. Under her leadership, Grid Dynamics became a successful, fast-growing engineering IT services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. In 2015, Victoria transitioned to the role of Chief Technology Officer, and in October 2019, Victoria took on her current role as the Executive Vice President of Customer Success to lead the organization through the next phase of growth.
Prior to founding Grid Dynamics, Victoria spent 10 years at Sun Microsystems in a variety of technical leadership positions including Principal Architect of SunGrid, the world's first public cloud; Senior Scientist at Sun Labs; Chief Architect of Financial and Automotive Services; and Chief Architect of General Motors. Victoria started her career as an HPC engineer for Ford Motor Company. Victoria received numerous awards for engineering excellence, including Sun Systems Engineer of the Year and Ford Chairman’s Award, and holds several patents. Victoria graduated with a Bachelor of Science degree in Computer Science from Case Western Reserve University and attended graduate programs at Purdue University and Stanford University.
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
September 18, 2017
Dear Oracle ATG users,
It is time to treat your ATG stack as a legacy system
and move forward to the cloud, open source, and microservices
December 13, 2016
DevOps stack for In-Stream Processing Service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi
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
November 11, 2016
Constructing a data dictionary for Twitter stream sentiment analysis of social movie reviews
November 11, 2016
Understanding the structure of the data in Twitter streams for sentiment analysis applications
November 10, 2016
Using CRISP-DM methodology for Twitter sentiment analysis
November 10, 2016
The basics of data science with a sentiment analysis example