Ilya Nachevsky Email & Phone Number
Who is Ilya Nachevsky? Overview
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Ilya Nachevsky is listed as Executive Director of AI Department (Principal AI Researcher) at SberDevices, a with 675 employees, based in Spain. AeroLeads shows a matched LinkedIn profile for Ilya Nachevsky.
Ilya Nachevsky previously worked as Tech Lead AI (Principal Data Scientist) at Skyeng and Senior Data Scientist (R&D Engineer) at Skyeng. Ilya Nachevsky holds Master'S Degree, Mechanics And Mathematical Modeling, Gpa: 3.7/4 from Lomonosov Moscow State University (Msu).
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About Ilya Nachevsky
End-to-end development and architectural design of high-load machine learning systems. Implemented training pipelines with distributed GPU computation. Developed and deployed neural network architectures and methods, including LLM (RLHF and DPO), GANs (c-GAN), Transformers, Autoencoders, Siamese networks, and Deep Tracing architecture. Expertise in semi-supervised and unsupervised learning techniques, as well as text and image augmentation.
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Ilya Nachevsky work experience
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Tech Lead Ai (Principal Data Scientist)
Senior Data Scientist (R&D Engineer)
AI Assistant Pipeline Builder Based on LLMMain Functionality* multi-task pipeline builder for AI agent* handling sources of all formats (including images, videos, external links, and audio)* step-by-step no-code complex task or sequence of tasks building* support for any type of input data for deep learning models processing* no-code graphic programming ML/DL system* asynchronous and parallelized execution of the describing tasks via the implemented directional asymmetric graphProject Contributions * R&D* project management* development fractal tree-like generative structure from the configuration of the task sequence for the ultimate execution rate * service architecture (atomization and custom choreography on the agent and task levels)* creation of MLOps pipeline for training and deployment* backend system development* implementation of full functionality model run on CPU with acceleration and hybrid processing options* load distribution and GPU usage managementStack: Python, PyTorch, Docker, Faust, Gradio, Redis, S3, Ansible
Senior Data Scientist
AI Assistant Based on LLMMain Functionality* context-based responses* handling sources of all formats (including images, videos, external links, and audio) * chat memory retention* simulation of short-term and long-term memory* development of SOTA solutions for business needsProject Contributions * R&D* project management* service architecture (atomization and custom choreography)* creation of MLOps pipeline for training and deployment* backend system development* implementation of full functionality model run on CPU with acceleration and hybrid processing options * load distribution and GPU usage managementStack: Python, Colab, PyTorch, Docker, Faust, FastAPI, Redis, Postgres, S3, ClearML, Nvidia Triton, AnsibleComic Strips Generation SystemMain Functionality* support for Google Cloud* analysis of large volumes of text* text-to-image technology usage* capturing the essence of the object (consistency)* distributed pipeline for generating independent verdicts - multifaceted analysis * development of SOTA solutions for business needsProject Contributions * R&D* project management* service architecture* backend system development* load distribution and GPU usage managementStack: Python, Colab, PyTorch, CatBoost, scikit-learn, spacy, HuggingFace, Docker, celery, FastAPI, Postgres, Redis
Ds/Ml Engineer
Video Indexing System (CV)Main Functionality:* support for Cloud Drives and Vimeo* multithreaded recognition of incoming video files* dynamic automatic system adjustment based on allocated resources* platform-independent video recording recognition* recognition, tracking, and behavior analysis based on business needs (custom metric based on heuristics and research results)Project Contributions * R&D* service architecture* backend system development* customization of existing neural network solution (acceleration, modification)Stack: Python, Colab, PyTorch, Docker, celery, FastAPI, Yandex Cloud, Redis, CatBoost, scikit-learn • QuiMLy (MLOps and ML Development System)Main Functionality* support for any input data for deep learning models processing* no-code graphic programming ML/DL system* asynchronous and parallelized execution of the describing tasks via the implemented directional asymmetric graph * flexible system for any ML and DL decisionsProject Contributions* service architecture* backend system development* customization of developed neural network solution (acceleration, modification) for using in the systemStack: Python, PyTorch, Docker, celery, FastAPI, Yandex Cloud, Redis, CatBoost, scikit-learn and etc ML libraries and frameworksChat Behavior Analysis System (RecSys, NLP, ETL)Main Functionality* support for Telegram* retraining/retraining models and versioning (mlops)* dynamic automatic system adjustment based on allocated resources* distributed pipeline for generating independent verdicts (multifaceted analysis)* behavior analysis based on business needs (custom metric based on heuristics and research results)Project Contributions * R&D* service architecture* backend system development* customization of existing neural network solution (acceleration, modification)Stack: Python, Colab, PyTorch, CatBoost, scikit-learn, HuggingFace, Docker, celery, FastAPI, Apache Airflow, Apache Spark, Postgres, Redis, S3
Machine Learning Research Engineer
• Differential Neural Network Identifier for Dynamical Systems With Time-Varying State ConstraintDescription* article in IEEE* support for Fanuc* minimizing delay compared to existing methods* handling noisy segmentsProject Contributions* R&D* solution developmentStack: python, colab, matlab, spacy, numpy• Deep-Learning-Based Tracing for Satellite TelemetryDescription* article in ASSA* analysis of telemetry data from Lomonosov satellite* anomaly prediction in time series* accounting for chaotic outliers and sensor shiftsProject Contributions* R&D* solution development* solving an initially unsolved taskStack: python, colab, spacy, numpy, pytorch, pandas
Machine Learning Engineer
Differential Neural Network Identifier for Dynamical Systems With Time-Varying State ConstraintDescription:* article in IEEE* support for Fanuc* minimizing delay compared to existing methods * handling noisy segmentsProject Contributions * R&D* solution development– Stack: Python, Colab, MATLAB, SciPy, NumPy
Spacecraft Structural Engineer/ Ml Engineer
Satellite System for Cleaning Near-Earth Space– Designing navigation and radio communication systems. Developing numerical methods and algorithms using machine learning for satellite communication calculations.– Project Contributions * R&D* navigation system design* development of a high-frequency communication line for a distributed satellite constellation * solving targeting system issues using machine learning– Stack: Python, jupyter, PyTorch, scikit-learn, poliastro
Ilya Nachevsky education
Master'S Degree, Mechanics And Mathematical Modeling, Gpa: 3.7/4
Bachelor'S Degree, Aerospace, Aeronautical And Astronautical/Space Engineering, Gpa: 3.84/4 (With Honors)
Frequently asked questions about Ilya Nachevsky
Quick answers generated from the profile data available on this page.
What company does Ilya Nachevsky work for?
Ilya Nachevsky works for SberDevices.
What is Ilya Nachevsky's role at SberDevices?
Ilya Nachevsky is listed as Executive Director of AI Department (Principal AI Researcher) at SberDevices.
Where is Ilya Nachevsky based?
Ilya Nachevsky is based in Spain while working with SberDevices.
What companies has Ilya Nachevsky worked for?
Ilya Nachevsky has worked for Sberdevices, Skyeng, Rebels.Ai, Russian Academy Of Sciences, and Ar/Vr Research Group.
How can I contact Ilya Nachevsky?
You can use AeroLeads to view verified contact signals for Ilya Nachevsky at SberDevices, including work email, phone, and LinkedIn data when available.
What schools did Ilya Nachevsky attend?
Ilya Nachevsky holds Master'S Degree, Mechanics And Mathematical Modeling, Gpa: 3.7/4 from Lomonosov Moscow State University (Msu).
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