
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BoardGames
February 4, 2021 – September 9, 2022
New Stl.Fusion sample and a fully functional web app allowing you to play real-time multiplayer board games. Powered by Stl.Fusion, Blazor, and .NET 5.
View ProjectStl.Fusion.Samples
July 23, 2020 – April 15, 2024
A collection of samples for Fusion library: https://github.com/servicetitan/Stl.Fusion
View ProjectStl.Extras
July 23, 2020 – November 4, 2020
A collection of NuGet packages that are also a part of open-source ServiceTitan Library, but aren't related to Stl.Fusion.
View ProjectBeatSaberLagKiller
April 4, 2020 – March 22, 2021
"TheTrashMan"-inspired plugin that takes into account Unity-specific incremental GC mode
View ProjectStl.Fusion
May 17, 2019 – Present
Build real-time apps (Blazor included) with less than 1% of extra code responsible for real-time updates. Host 10-1000x faster APIs relying on transparent and nearly 100% consistent caching. We call it DREAM, or Distributed REActive Memoization, and it's here to turn real-time on!
View ProjectYetAnotherStupidBenchmark
May 16, 2019 – November 20, 2020
YetAnotherStupidBenchmark — Dev.to repository
View ProjectGCBurn
September 6, 2018 – November 19, 2020
Garbage collection / allocation performance tests for various languages (for now, just C# / .NET and Go)
View ProjectBenchmarkGame-CSharp
May 5, 2017 – May 9, 2017
The Computer Language Benchmarks Game - my attempts to improve C# code there
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on low-level performance, real-time systems, and C++ development. While these demonstrate strong technical capabilities, the target role of 'Data Scientist' requires a different primary skill set (e.g., Python, R, machine learning frameworks, statistical modeling, data manipulation, visualization). The current project portfolio does not directly align with typical data science responsibilities, indicating a potential mismatch in cultural fit for a data science team without significant upskilling.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The provided data focuses solely on technical projects.