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I design, train, and deploy production-grade ML systems — from transformer models to real-time inference at scale.
18+ years building end-to-end software systems
I'm an ML Engineer and open-source developer from Podolsk, Russia, focused on practical AI: local, offline-first systems, deep learning research, and production software. I specialize in NLP, RAG pipelines, and MLOps — turning ideas into reliable systems that run without external dependencies.
I believe the best AI is the one you can run yourself. My work spans an air-gapped AI workstation for case investigation (CaseAI), philosophically-inspired loss functions for PyTorch, and a Russian-market restaurant management system — always with reproducible, testable engineering behind it.
Tools I use to ship models that matter
A timeline of shipping ML to production
Leading software for Chinese automotive platforms, including NDA projects for Chinese automotive brands. AI voice interfaces, backend services, automotive Android/Linux integrations and diagnostics. Managing a distributed team of up to 20 people.
Researching, diagnosing and modifying Linux-based automotive computer systems, navigation and vehicle software stacks. Published technical reverse-engineering and repair material for the engineering community.
Backend, frontend, REST APIs, relational databases, automation, integrations, Linux deployment and production debugging. Repeatedly moved across unfamiliar technology stacks to solve end-to-end product problems.
Selected open-source work — from research to production
Fully local AI workstation for case investigation: OCR, Whisper audio transcription, hybrid RAG search, and Fast 32B / Deep 70B LLMs. Air-gapped on Ubuntu 24.04 + NVIDIA — zero external APIs.
Experimental PyTorch add-on: philosophically motivated yet technically verifiable loss functions and regularizers — epoche, hermeneutic circle, dialectics, perspectivism, virtues, semiosis. 45 passing tests.
Open-source restaurant management system for the Russian market — an iiko alternative built on ERPNext/Frappe with Russian integrations: 1C, 54-FZ fiscalization, acquiring, delivery aggregators, EGAIS and Mercury.
Live from github.com/webzuweb
URY - FOSS restaurant management system super powered by ERPNext.
CodeKey - ESP32-S3 USB HID keyboard bridge (Android controller)
Философски мотивированные, но технически проверяемые функции потерь и регуляризаторы для …
AI рабочая станция следователя с локальным ИИ DeepSeek: OCR, аудио, гибридный RAG-поиск, …
Open standard for machine learning interoperability
A unified framework for machine learning with time series
NLTK Source
A python library for user-friendly forecasting and anomaly detection on time series.
I'm always open to discussing ML research, open-source collaboration, or new opportunities.