My architect and development experience includes a lot of domains that need low-latency data access at any scale: education platforms, talent marketplaces, social networks, knowledge graphs, collaboration, e-commerce, transportation, travel solutions, payment processors, financial, blockchain analytics, cybersecurity, SEO tools, online games, IoT, bioinformatics tools and others.
I have great ontology and modeling expertise with roots in economics, sociology, physics, and neuroscience. Also I am proficient with UML and BPMN.
My programming technique is strong OOP modular architecture based on generics, descriptors, design patterns and loosely-coupled services.
I have perfect knowledge of Neo4j and Cypher. I know TinkerPop Gremlin very well and have a good experience with JanusGraph, CosmosDB and Neptune. I worked with Dgraph in several projects and have strong knowledge of its GraphQL+-(DQL) also.
For RDF knowledge graphs I'm proficient with SPARQL.
I'm experienced graph data analyst, I've implemented custom graph traversal algorithms with Python and Neo4j Java API procedures. My current interest - hypergraphs and GPU-based graph computations with CUDA.
Also I can build data pipelines for your application using cloud solutions or open-source tools and GraphQL or REST API for your front-ends and partners to connect them to the graph database.