I am a Senior Software AI Engineer with over 8 years of experience specializing in Python, production microservices, and AI/LLM systems. Throughout my career, I have developed expertise in distributed data processing, LLM-agent workflows, and RAG pipelines. I have commercial experience building full-cycle startups, including AI-powered app builders using FastAPI, React.js, and Web3 technologies.
In my most recent role as Co-Founder and CTO at AI-Constructor, I led the development of backend systems using Python, FastAPI, and Alembic, and implemented frontend solutions with ReactJS and KonvaJS. I built blockchain referral systems and contributed to multi-agent LLM workflows, focusing on tool orchestration and semantic search pipelines. I also designed AI-driven content and report generation systems leveraging OpenAI and LangChain.
Previously, I worked as a Senior Specialist in Automation of Secure Systems, where I deployed Docker and RabbitMQ for resource parsing, migrated backend systems to asynchronous FastAPI, and led a team of developers. I optimized legacy code, built monitoring and alerting subsystems, and configured CI/CD pipelines to improve build times and system performance.
My academic background includes a Master’s and Bachelor’s degree in Computer Science from Ural Federal University, along with six months of PhD studies. I have also earned a Microsoft IT Academy certificate in Design Patterns and contributed to research with conference papers and a patent related to tumor diagnostics.
I am skilled in a wide range of programming languages, frameworks, and tools including Python, Golang, Node.js, FastAPI, ReactJS, Docker, Kubernetes, and many AI/ML libraries such as PyTorch, TensorFlow, and Hugging Face Transformers. I am proficient in English at a B2 level, capable of technical communication and collaboration.
I am passionate about building scalable, efficient, and intelligent software systems that leverage cutting-edge AI technologies. I enjoy leading teams, optimizing complex systems, and delivering high-quality solutions that drive business value.
I am eager to contribute my skills and experience to innovative projects that push the boundaries of AI and software engineering.
Six months of PhD studies; Microsoft IT Academy Certificate in Design Patterns; Conference papers and abstracts; Patent related to tumor diagnostics
Developed backend in Python/FastAPI/Alembic; Implemented frontend with ReactJS/KonvaJS; Built blockchain referral system; Contributed to LLM multi-agent workflows; Built RAG pipelines; Designed AI-driven content and report generation system; Deployed Kafka with replication; Collected analytics in ClickHouse with Prometheus/Grafana; Added profile data caching in Redis; Optimized PostgreSQL queries; Configured DevOps infrastructure; Deployed MinIO as S3 storage
Deployed Docker with RabbitMQ for parsing; Added asynchronous I/O-bound endpoints; Migrated backend to FastAPI; Wrote 100+ unit tests with pytest; Optimized legacy code; Led a team of 3 developers; Built Celery workers; Developed monitoring/alerting subsystem; Implemented migration from SQLite to PostgreSQL+Redis; Built ETL pipeline processing 1TB data/day; Configured GitLab CI
Developed tumor diagnostics system in MeVisLab; Internship at BONUM Scientific and Medical Center; Co-author of patent on tumor diagnostics method
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