What I've done:- Created "Chain Monitor" Coin Metrics product (FARUM).- Establishing various company-wide architectural standards, reliability guidelines, API design specifications, common libraries, and services to maintain consistency between different projects and teams.- Software engineering and scaling strategy, making architectural decisions.- Software engineering oversight and reducing the complexity and maintainability of solutions.- Incident prediction, resolving, and troubleshooting.- Scaling engineering org structure, interviewing candidates, and mentoring technical leaders.- Got EB-1A (US) & Global Talent (UK) visas and ultimately moved to Boston.- Developed the next-generation specialized distributed database and high-performant query engine to work with terabytes of data.- Integrated AI with Coin Metrics data without using external AI APIs.

What I've done:- Created a highly loaded, distributed, and reliable Coin Metrics API (API v4)- Created an Access Management System for API keys (AMS API)- Created a Universal Blockchain Explorer API (ATLAS API)- Created a Distributed rate-limiting system for API calls

An experimental mind-reading technology.Read more: https://mind.energy & https://docs.mind.energy

One of the most popular multi-user chat room services.https://chatovod.comTech: Java, Kotlin, an in-house low-level chat server handling more than 300k active HTTP connections per server with more than 20k RPS.

Developed a highly loaded startup/pet project using Java.

Big data. Highload. Distributed systems. Analytics. Java.---What I've done:- Created the architecture of the in-house distributed, high-load, fault-tolerant analytical system AppMetr. It handled more than 1 billion events per day, stored more than 100 TB of data.The main features were an efficient in-house columnar database (I've created it), near real-time analytics, accepting schemaless custom events, and powerful UI for the end-users.The system provided a quick way to filter, group, and analyze a huge amount of events from mobile devices and servers in seconds. It allowed inspecting the lifecycle of an individual user or some user group. Besides base features, it provided advanced analytics like cohort analysis, user retention analysis, etc.We used Apache Cassandra as cold storage, Apache Kafka for queues, and in-house Java software for high-performance querying.- Managed a team of 5 Software Engineers.- Was a speaker at Saint HighLoad++ 2019 and Joker 2019 conferences in Russia.

The server part of a distributed system for collecting and analyzing publicly available information on the Internet. Java.

More than a social aggregator. It was launched before FriendFeed which was ultimately sold to Facebook. Java.

Created a cross-platform social network City Chat / Spacedoors / CD.RU.It had chat rooms where people could communicate using any device (J2ME & Symbian mobile phones, a website). It was similar to WhatsUp and launched before WhatsUp.I was responsible for the architecture and core services of the system. Java.

Created:- A Pushkino city website pushkino.org / popular local social network from scratch (PHP)- Online stores (PHP)- Internet Club management software (Java)

Development and sale of own software and websites. Tech stack: VB, PHP, Java, HTML, JS.