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I design, train, and deploy production-grade ML systems — from transformer models to real-time inference at scale.
The human behind the models
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
Building local, offline-first AI systems. Author of CaseAI — an air-gapped investigation workstation — and philosophia_torch, a research PyTorch library with 45 passing tests.
Designed and deployed NLP pipelines for document classification and entity extraction. Developed internal MLOps tooling for reproducible, self-hosted model serving.
Built forecasting and automation tooling for supply-chain workflows. Automated data pipelines and reporting dashboards used across teams.
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.
I'm always open to discussing ML research, open-source collaboration, or new opportunities.