Vasilii Vazhesov is an experienced ML and Data Engineer with over a decade building scalable data pipelines and production ML systems, currently training object-detection models and operating inference clusters at Apple. He brings deep hands‑on expertise in Scala/Java backends (Akka, Spark, functional-style data transformations), Python ML tooling (TensorFlow/Keras), and production messaging and storage technologies (Kafka, Rabbit, Cassandra, Mongo, Redis). His background includes designing event-sourced, Mesos-deployed architectures for real-time systems and crafting very large SQL-like data transformations expressed as Scala flatMap/join pipelines for Apple Maps. A strong Linux user and TDD practitioner, he blends systems engineering discipline with pragmatic data engineering—often treating complex problems as Y = F(X) at scale. Notably, his trajectory from building MMORPG backends to shipping ML inference at a major tech company highlights an unusual combination of game-scale event systems and operational ML production experience.
10 years of coding experience
13 years of employment as a software developer
Master's degree Rocket engine engineer / Mechanical engineer, Master's degree Rocket engine engineer / Mechanical engineer at Perm National Research Polytechnic University (PNRPU) / ex. PSTU
Static page engine/generator for https://vasyaod.github.io/my-tracks/ and https://vasyaod.github.io/my-trips/
Contributions:14 PRs, 274 pushes, 10 branches in 5 years
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