Dima Korolev Email & Phone Number
@starsgroup.com
5 phones found area 415 and 312
LinkedIn matched
Who is Dima Korolev? Overview
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Dima Korolev is listed as Distributed Protocols Architect at CEF.AI, a company with 6 employees, based in Bellevue, Washington, United States. AeroLeads shows a work email signal at starsgroup.com, phone signal with area code 415, 312, and a matched LinkedIn profile for Dima Korolev.
Dima Korolev previously worked as Architect at Miro and Host at System Design Meetup. Dima Korolev holds Master'S Degree, Thesis On “Systematization To The Financial Forecasting Problem”. from National Research Nuclear University Mephi (Moscow Engineering Physics Institute).
Email format at CEF.AI
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About Dima Korolev
As an architect and an engineer, I design data applications to be consistent, durable, and high-performing. My primary language is C++, and there's a lot it can do on a single box. Taking an already high-performing distributed application and making it do even more in well set up cloud mode is my sweet spot. For many years I am an advocate for Event Sourcing and CQRS as the building blocks for scalability.The Total Order Broadcast of business events is the future, and it is a better distributed synchronization primitive than explicit leader elections or RDBMS transactions. Reach out if your thinking is along the same lines and if you have problems in the space waiting to be solved.As a team leader and an evangelist, I believe in hiring and retaining people who combine two traits: professionalism, when it comes to execution, and shared values, because that's the best way I found to ensure team morale for an extended period of time. Best teams I was and am privileged to be a part of have the synergy between the old-timers, proud to keep the ship running and take pride in sharing knowledge, and the less experienced people, elbows deep and eager to learn and grow.Prior to moving to distributed infrastructure, my professional career had major chapters in machine learning and in natural language processing. I am a co-author of several patents in Machine Learning and Natural Language Processing.Since 2016 I am dedicating several hours a month to helping people prepare for software engineering interviews. As I saw the cloud architecture space expanding, both in my work and by seeing more people ask for system design interviews, in 2020 I started the System Design Meetup. The https://www.youtube.com/dimakorolev channel has over 1K subscribers as of late 2023.Occasionally I write at https://dimakorolev.substack.com/ and https://t.me/BoreMeNo.
Listed skills include Software Engineering, Algorithms, Machine Learning, Distributed Systems, and 46 others.
Dima Korolev's current company
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Dima Korolev work experience
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Architect
Currenthttps://miro.com: The most valuable massively multiplayer online game ever created.— End-user authorization, rules, evaluations at edge, performance & scale.— Real-time policy evaluation with OPA, the Open Policy Agent.— The DAG of data dependencies, OLTP pipelines, SAGAs, consistency models.
Host
Currenthttps://github.com/SysDesignMeetup/sdm: We gather and talk system design, in a colloquium style.The long play is grow into some crowdsourced Archiect's Corner.On-air events so far are mostly me presenting on various topics. There is a lot more stuff going on behind the scenes.Come join us!
Principal Maintainer
Currenthttps://github.com/C5T/Current: Realtime machine learning, the C++ framework to develop and deploy data- and OLTP-heavy apps.Architecture:— Publish-subscribe as the source of truth.— Leader-follower replication, eventual consistency between replicas.— Zero-downtime data authority flip, with optional live schema evolution.Implementation:— 10K+ HTTP QPS on.
Architect
https://www.pokerstars.com: The largest online poker in the world, acquired by Flutter in 2020.— Architecting, designing, and sometimes helping implement, test, and maintain real-time data pipelines.— Streamlining the procedures behind ongoing and upcoming regulatory reports.— Initiated and led the automated cross-component testing initiative to run.
Head Of Machine Learning
https://friendlydata.io: Helping businesses make data accessible.Acquired by ServiceNow, which I joined as IC6 = L8.— All things machine learning, query suggestions, spelling correction, backend for UX interactivity.— Using clicks and labeled data to constantly improve the quality of the product in a semi-automatic fashion.— Infrastructure, interactivity.
Principal Engineer
https://realtyshares.com: The Leading Online Marketplace for Real Estate InvestingData Consolidation:— Single source of truth.— Bi-directional sync between our proprietary data storage and Salesforce.Infrastructure:— Zero-downtime rollouts of the data stack.— Fleet monitoring with dependencies visualization and sophisticated alerts, we had no outages all.
Captain Of Engineering
http://www.staance.com: Opinions network. Enable people take stances and engage in conversations starting from a simple "Agree/Disagree" on popular trending topics.— First hired engineer. Recruit and manage the engineering team.— Oversaw data science and engineering. Introduced metrics for user engagement, ads efficiency, behavioral insights.— Consultant.
Advisor
http://www.maps.me: Offline maps for mobile devices based on rich OpenStreetMap data.— Business networking.— Data analytics.— Technology stack.
Co-Founder And Cto
https://angel.co/public-verification/: Personal identification in under one minute. AirBnb- and Uber-like reputation for everyone, everywhere.— Built and led the team of four engineers.— Define the products and the APIs.— Work with investors and external stakeholders.— Integration work, both as the provider and as the consumer of the service.Provisional.
Software Engineer
http://bing.com/— Airfare prediction: http://www.bing.com/travel— Image content features understanding: http://www.bing.com/images— Vertical search ranking and more machine learning projects.Patent:— "Determination of Relationships Between Collections of Disparate Media Types."Talk:— "Gödel Theorems for engineers and computer scientists", slides attached.
Software Engineer
http://www.google.com— Search quality: Unwanted explicit content demotion in search results.— GMail: Site reliability engineer.— Infrastructure work: Scaling spam and abuse pipelines for GMail, used for Google+ later on.Patents:— "Classifying documents using multiple classifiers."— "Construction of Text Classifiers."Talks:— One on the scaling solution for.
Coach
http://www.guc.edu.eg/: The German University in Cairo (GUC).— Coached the teams for the ACM ICPC competition.— Co-teached the “Data Mining” class.Talk:— “Machine Learning: New Horizons it Opens for Web Applications”, opening the IEEE Day event in Cairo.
Research Engineer
— Non-relational quadruplet-based storage system, with PM-friendly UX.— Core DSL to insert, update, and query data.
Research Engineer
Text mining framework with user-friendly UX.— Supervised and unsupervised text categorization.— Compression, by itself and as one of text similarity metrics.— SVM and entropy models, text stemming, and a few other in-house algorithms.
Dima Korolev education
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National Research Nuclear University Mephi (Moscow Engineering Physics Institute)
Frequently asked questions about Dima Korolev
Quick answers generated from the profile data available on this page.
What company does Dima Korolev work for?
Dima Korolev works for CEF.AI.
What is Dima Korolev's role at CEF.AI?
Dima Korolev is listed as Distributed Protocols Architect at CEF.AI.
What is Dima Korolev's email address?
AeroLeads has found 1 work email signal at @starsgroup.com for Dima Korolev at CEF.AI.
What is Dima Korolev's phone number?
AeroLeads has found 5 phone signal(s) with area code 415, 312 for Dima Korolev at CEF.AI.
Where is Dima Korolev based?
Dima Korolev is based in Bellevue, Washington, United States while working with CEF.AI.
What companies has Dima Korolev worked for?
Dima Korolev has worked for Cef.Ai, Miro, System Design Meetup, Current, and The Stars Group.
How can I contact Dima Korolev?
You can use AeroLeads to view verified contact signals for Dima Korolev at CEF.AI, including work email, phone, and LinkedIn data when available.
What schools did Dima Korolev attend?
Dima Korolev holds Master'S Degree, Thesis On “Systematization To The Financial Forecasting Problem”. from National Research Nuclear University Mephi (Moscow Engineering Physics Institute).
What skills is Dima Korolev known for?
Dima Korolev is listed with skills including Software Engineering, Algorithms, Machine Learning, Distributed Systems, Computer Science, Software Development, Scalability, and Python.
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