Kirill Mavreshko
Python Developer
Agidel, Bashkortostan, Russia
Summary
👤
Senior🎓
Top SchoolKirill Mavreshko is a seasoned Python and Rust developer with 12 years of experience building high-throughput web and data-processing systems and a strong foundation in C/C++. He has driven full-stack and backend work at startups and enterprises, notably building ML-driven products at MealMind and high-load analytics and infrastructure at IPONWEB. Kirill combines deep practical knowledge of relational and NoSQL databases (Postgres, Cassandra, MongoDB) with hands-on experience in monitoring, testing, and continuous delivery for production-critical services. In recent years he has pivoted into machine learning, specializing in NLP, reinforcement learning, and evolutionary algorithms while also exploring inner workings of ML frameworks. Based in Agidel, Russia, he brings a pragmatic engineering mindset to complex data problems and an unusual blend of low-level systems experience and applied ML. Peers describe him as a continuous learner who turns mathematical rigor into production-ready software.
12 years of coding experience
14 years of employment as a software developer
Applied Mathematics and Computer Science, Applied Mathematics and Computer Science at Samara State Aerospace University
English, Russian
Github Skills (122)
python10
deep-learning10
opencl10
altium-designer10
burn10
high-performance10
bert-embeddings10
wxwidgets10
kicad10
machine-learning10
neurons9
javascript9
tvm9
keyboard9
onnx9
Programming languages (7)
Github contributions (5)
kpot/kerl
May 2018 - Mar 2021
KERL: reinforcement learning algorithms and tools implemented using Keras
Contributions:7 commits, 4 pushes, 1 branch in 2 years 10 months
reinforcement-learning-algorithmsdeep-learningreinforcement-learninglearning-algorithmstensorflow
kpot/keras-transformer
Sep 2018 - Feb 2019
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
Contributions:17 commits, 8 pushes, 11 comments in 4 months
pytorchnlptransformersbertdeep-learning
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