Igor Kasianenko

London, England, United Kingdom
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Summary

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Rockstar
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Top School
Igor Kasianenko is a Partner Engineer in GenAI at Meta with nine years of experience building production-grade ML and computer vision systems. He holds an MSc in Applied Physics and combines deep algorithmic expertise (image/signal processing, fine-grained recognition) with hands-on engineering in Python, C++, C#, MATLAB and deployment on AWS and mobile platforms. At KanduAI he delivered resource-efficient inference (patented engine with 96% compute savings), on-device demographic models with 99% accuracy, and sped up training pipelines fourfold by migrating to PyTorch. Comfortable across research and product boundaries, he has shipped SDKs in C++/Kotlin, automated CI/CD and experiment tooling, and contributed to open-source projects like dlib and VoTT. Based in London, he’s known for turning state-of-the-art research into pragmatic, fast-to-market solutions that shrink development cycles from weeks to minutes.
code9 years of coding experience
job11 years of employment as a software developer
bookInformation Technology Security, Information Technology Security at Technion - Israel Institute of Technology
bookPractical DL for coders, Practical DL for coders at fast.ai
bookComputer Science, Computer Science at Dnepropetrovsk Lyceum of Information Technology
bookMaster of Science (M.S.), Applied Physics, Master of Science (M.S.), Applied Physics at Taras Shevchenko National University of Kyiv
languagesEnglish, Ukrainian, Hebrew, Russian, German
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Github Skills (112)

language-model10
python10
synthetic10
to-do10
gpu10
efficientnet10
imagenet10
optimizer10
fastai10
resnet10
ai10
fine-tuning10
mistral10
golang10
ollama10

Programming languages (7)

TypeScriptShellC++JavaScriptGoJupyter NotebookPython

Github contributions (5)

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Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Contributions:9 PRs, 58 pushes, 40 branches in 1 year 1 month
Contributions:1 PR, 15 pushes, 2 branches in 1 year 10 months
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