BACKEND - AI - DEVOPS
Software Engineer | Microservices Architecture | Cloud Technologies | Artificial Intelligence
Building scalable systems with modern technologies
Software engineer specializing in back-end development, microservices architecture, and AI integration. Co-founder & CTO of an AI startup (Sila), teaching associate at a university faculty, and PhD candidate focusing on the application of AI in software architecture design. With expertise in Spring Boot, experience with Python & AI, and DevOps know-how across all four major clouds, I deliver solutions ranging from quick MVP scripts to complex, well-planned enterprise systems — and take products end-to-end from idea to production.
Designing and implementing full-stack systems that scale efficiently
Building scripts or AI-powered software that will help you automate daily tasks at work and save time
Teaching computer science and programming at the Faculty of Civil Engineering. Independently conducting lectures and exercises, grading students
Tools and technologies I work with
A selection of my work and research
AI for luxury retail: a face-recognition system that recognizes a VIP customer at the door in under 200 ms and pushes their full profile to a store associate's phone. Consent-first and GDPR-compliant, storing only mathematical embeddings. Won 1st place at the POPRI international youth business-model competition.
AI-powered system for automated CV generation based on candidate metadata and job requirements. Independently developed under expert supervision, currently in production and actively maintained. Used by HR and recruiters. Full-stack solution with Angular frontend, Chrome extension, FastAPI backend deployed on Google Cloud Serverless, integrated with Google Drive and Docs.
Master's thesis research implementing microservice architectures in Spring Boot, Micronaut, and Quarkus. Comprehensive comparison across performance metrics, documentation quality, and community support. Published scientific paper demonstrating microservice application in geodesy domain.
Enterprise budget planning and execution system for the Ministry of Finance, built with Saga / Yotta. Team collaboration on a large-scale project following Agile sprints and company standards, covering the full lifecycle: backend design, database architecture, automated testing, containerization, and deployment.
PhD research: an empirical, reproducible comparison of AWS, Azure, Google Cloud, and Hetzner across IaaS, CaaS, and FaaS, using one identical FastAPI app on ten targets. A 14-day automated campaign measured by a neutral test client and analyzed with non-parametric statistics — it even caught a confound that cut p95 latency by up to 156x.
A production recruiting platform used by paying clients (Spring Boot / Java 21 + Angular). Deep Workable ATS integration via OpenFeign, scheduled batch sync agents, HMAC-verified webhooks, and semantic skill search powered by a Neo4j knowledge graph alongside MySQL. Clients reach their own data through an API-key-secured public API.
Let's work together on your next project