Authors

Aleksandr Vasilev

St. Petersburg, Russia

 

Blog posts:

March 03, 2020 Tiered machine learned ranking improves relevance for the retail search
February 22, 2020 Understanding search query intent with deep learning
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Alex Rodin

Principal software engineer

 

Blog posts:

May 18, 2020 Unsupervised real time anomaly detection
March 08, 2019 Safety stock optimization for Ship-from-Store
August 07, 2018 Predictive analytics for promotion and price optimization
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Andrey Chevozerov

Senior iOS Developer

 

Blog posts:

July 31, 2019 Easily move your native app to Flutter
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Andrey Kudryavstev

Senior Software Engineer

 

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
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Conor McNamara

Data Scientist in Engineering: Machine Learning

 

Blog posts:

May 01, 2018 Xgboost vs Catboost vs Lightgbm: which is best for price prediction?
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Dmitry Karachentsev

 

Blog posts:

June 30, 2020 Which Enterprise Data Warehouse performs better for your workloads?
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Dmitry Latnikov

Delivery Director in Engineering

 

Blog posts:

October 11, 2016 Six design principles of Continuous Performance Testing
September 21, 2016 How to extend CI pipelines with Continuous Performance Testing
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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
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Dmitry Yaraev

Senior Big Data Engineer

 

Blog posts:

September 26, 2017 How to achieve in-stream data deduplication for real-time bidding: a case study
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Egor Zubkov

Senior iOS Developer

 

Blog posts:

January 10, 2018 How ARKit and ARCore recognize vertical planes despite limited depth perception
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Evgeniia Mikhailova

 

Blog posts:

February 28, 2020 Relevant facets: how to select and promote facets with deep learning
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Ihor Syrov

 

Blog posts:

March 06, 2020 Evolution of CMS and overview of modern DXP platforms
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Ilya Katsov

Head of Practice, Industrial AI

 

Blog posts:

June 10, 2020 Multi-agent deep reinforcement learning for multi-echelon supply chain optimization
May 26, 2020 Grid Dynamics Search Capabilities
May 26, 2020 Enterprise Data as a Service
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Ivan Petrushin

Senior Big Data Engineer in Delivery

 

Blog posts:

January 16, 2018 How to create a serverless real-time analytics platform: a case study
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Jiaye Pan

Data Science Intern

 

Blog posts:

August 21, 2019 When life gives you lemons: Analyzing negative reviews to improve your mobile app
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Konstantin Perikov

Software Engineer

 

Blog posts:

June 27, 2017 How to use suffix arrays to combat common limitations of full-text search
February 22, 2017 Implementing autocomplete with Solr
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Maria Dyuldina

Saint Petersburg

 

Blog posts:

February 18, 2020 How to replatform Endeca rules to Elasticsearch
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Markering Tools

 

Blog posts:

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Nikolay Khokhlienkov

Technical Director

 

Blog posts:

March 23, 2017 Using geofence marketing & Bluetooth beacons to improve offline sales
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Pavel Katunin

Senior IOS Developer

 

Blog posts:

September 21, 2017 Practical unit testing for iOS applications
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Sergei Parshev

Senior Deployment Engineer in DevOps

 

Blog posts:

December 20, 2018 Developing a modular pipeline library to improve DevOps collaboration
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Sergey Novikov

Senior UI Engineer

 

Blog posts:

October 10, 2017 18 ways to foster success in responsive web UI projects
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Sergey Tryuber

Technical Director, Big Data

 

Blog posts:

July 10, 2016 In-Stream Processing service blueprint
May 07, 2016 Overview of In-Stream Processing solutions on the market
May 05, 2016 How In-Stream Processing works
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Stanislav Livotov

 

Blog posts:

April 07, 2020 How to replatform Endeca rules to Solr
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Timofey Durakov

Staff Data Scientist in Engineering: Machine Learning

 

Blog posts:

May 30, 2018 Expanding product discovery with ML-powered image similarity search
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Victor Chistyakov

Staff Software Engineer in Kharkov

 

Blog posts:

February 22, 2018 How to build a DIY Magic Mirror out of commodity hardware and augmented reality APIs
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Victor Samoylov

Senior Director of Business Systems

 

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
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Vitalii Ruban

 

Blog posts:

May 22, 2019 Take your apps to the next level with 3D augmented reality
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Vladimir Katson

Technical Architect

 

Blog posts:

June 04, 2019 Order history search: a fast and efficient approach
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Vladislav Isaev

Search Developer in Engineering: Search

 

Blog posts:

February 27, 2019 Identifying screws, a practical case study for visual search
April 17, 2018 Building a reverse image search engine with convolutional neural networks
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Vladislav Trofimov

Staff Search Developer in Delivery

 

Blog posts:

February 14, 2018 How to implement autocomplete search for large-scale e-commerce catalogs
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Yakov Sirotkin

Software Engineer

 

Blog posts:

June 27, 2017 How to use suffix arrays to combat common limitations of full-text search
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Yaroslav Basovskyy

Senior UI Developer

 

Blog posts:

October 17, 2017 Developing real-time applications on AWS ELB without WebSocket
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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
July 17, 2019 The key to a high app rating? Low crash rates and a clean, modern UI
February 13, 2019 Why Flutter should be your next mobile development framework
October 31, 2017 Top business drivers of real-time analytics and machine learning in retail
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
January 03, 2017 More details on building cloud-portable DevOps stack with Mesos and Marathon
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
November 10, 2016 From reference architecture to reference implementation: detailing the DevOps aspects of In-Stream Processing Service

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