Alexander Arganaidi
Research Engineer at Netflix
Tallinn, Harju County, Estonia
Summary
👤
Senior🎓
Top SchoolAlexander Arganaidi is a research engineer specializing in deep learning, computer vision, and 3D reconstruction with nine years of experience building production-ready ML systems. He has led research and engineering efforts from gesture recognition and voice-assistant NLU/NLG at Sberbank to geometry-aware texture generation and image-based 3D body/head reconstruction at Ready Player Me. Now at Netflix, he brings a track record of translating academic rigor from MIPT into deployable models and SDKs that power real-world products. Alexander combines expertise in 3D morphable models and adversarial vocoders with pragmatic system design—automating complex data pipelines and shipping on-device solutions. Colleagues would note his knack for turning research prototypes into scalable components and for seeding new R&D directions (e.g., initiating gesture recognition work). Based in Tallinn, he blends deep theoretical training with product-focused engineering across both research and industry settings.
9 years of coding experience
11 years of employment as a software developer
Master's degree Applied Mathematics and Informatics, Master's degree Applied Mathematics and Informatics at Moscow Institute of Physics and Technology (State University) (MIPT)
English, French, Russian
Github Skills (1)
hand-tracking5
Programming languages (1)
Github contributions (5)
einstalek/hand-keypoint-detection
Nov 2019 - Dec 2020
Hand tracking with key point detection
Contributions:10 commits, 9 pushes, 1 branch in 1 year 1 month
hand-trackingtrackingpointhandpoint-detection
einstalek/variational-gan
Apr 2019 - Dec 2020
Contributions:33 pushes, 1 branch in 1 year 8 months
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