AI & DevOps Specialist
I'm a motivated and tech-savvy specialist with hands-on experience in AI-powered automation, technical support, and a strong passion for DevOps. I transform complex infrastructure challenges into elegant, automated solutions using modern cloud technologies and containerization.
Production-ready, privacy-first AI email automation platform with complete DevOps infrastructure.
A sophisticated microservices-based system that autonomously processes customer support emails using RAG architecture with local LLMs. Features Docker containerization, Kubernetes orchestration, a full CI/CD pipeline, and real-time admin dashboard.
Key Achievement: Processed 100+ daily emails with 94%+ automated resolution accuracy.
A production-ready Flask SaaS API using Google Gemini 2.0 Flash for automated support ticket classification. Features tier-based Stripe billing, PostgreSQL, Redis caching, and full Prometheus/Grafana observability.
A fully functional AWS S3 compatible object storage simulator built with MinIO and Flask. Includes a complete observability stack with Prometheus, Loki, Promtail, and Grafana.
Node.js microservice architecture with Traefik reverse proxy and 3 API replicas for horizontal scaling. Validated 1000 req/sec throughput with k6 load testing and sub-500ms p95 latency.
A comprehensive demonstration of DevOps automation principles showcasing a complete CI/CD pipeline with Docker containerization. Every code change triggers a GitHub Actions workflow that automatically deploys to Render.
View on GitHub →A demonstration of multi-service orchestration using Docker Compose with a Node.js Express API and Redis caching. Features health checks, data persistence, service discovery, and comprehensive error handling.
View on GitHub →A real-time meta-search engine and financial calculator bridging the Ukrainian and Irish automotive markets. Aggregates listings from 6 marketplaces and features advanced anti-bot scraping with Puppeteer.
View on GitHub →A collection of classic algorithm implementations and data structure exercises in Java. Covers sorting algorithms (QuickSort, MergeSort, HeapSort), graph traversal (BFS, DFS), dynamic programming, and performance benchmarking. Demonstrates understanding of computational complexity and optimization techniques.
View on GitHub →Collection of lightweight, cross-platform Bash scripts for developers, sysadmins, and DevOps. Automate system monitoring, service checks, backups, log cleanup, and network tasks with minimal dependencies. Works on Linux, Windows (via Git Bash), and hybrid environments.
View on GitHub →This repository contains a collection of laboratory assignments focused on Artificial Intelligence concepts, implemented primarily in Python. Each lab explores different aspects of AI, including clustering, genetic algorithms, and neural networks.
View on GitHub →I'm currently available for freelance projects and full-time opportunities.