Artem Vaganovich

Internal AI-first engineering platform that accelerates the full software delivery lifecycle through LLM agents, Model Context Protocol tooling and automated workflows.

• Built agentic workflows on top of Claude Code, Claude Opus, Cursor and OpenAI GPT, integrating them into architecture, implementation, refactoring and code-review stages.
• Designed and deployed MCP servers that expose internal APIs, databases and documentation to AI agents through a secure, governed tool-calling layer.
• Created prompt and context engineering standards, reusable prompt templates, structured-output contracts and evaluation pipelines for consistent, high-quality AI output.
• Automated test generation, documentation updates, incident triage and routine engineering tasks, significantly reducing manual overhead while keeping quality gates strict.
• Used local and Russian LLM providers to meet data-residency and security requirements without dependency on foreign cloud services.

Distributed real-time gaming backend handling concurrent players, in-game events, payments and leaderboards with low-latency requirements.

• Architected microservice backend around WebSocket gateways, stateless game services and event-driven processing pipelines.
• Implemented Redis-based caching, session storage and real-time leaderboards to reduce database pressure and keep response times low.
• Designed asynchronous payment and reward processing with idempotency, retries and eventual-consistency guarantees.
• Optimized PostgreSQL schemas, indexes and queries to sustain high write throughput during tournaments and promotional events.
• Built observability, alerting and production diagnostics to detect latency spikes, connection drops and payment anomalies early.

Secure remote browser and desktop management platform for automation, streaming and unattended workload execution on Windows hosts.

• Designed a hybrid architecture with Windows Services running on remote hosts, backend orchestration APIs and WebRTC-based media streaming.
• Implemented secure command and control channels, session isolation, authentication and audit logging for compliance-sensitive operations.
• Integrated Media Foundation for video capture, encoding and low-latency streaming to web clients.
• Built scalable backend APIs for host discovery, job scheduling, health monitoring and remote session lifecycle management.
• Optimized resource usage and connection reliability to support hundreds of concurrent remote sessions per deployment.

Cross-system automation backbone that connects internal business applications, external APIs and AI-assisted workflows to streamline operations.

• Designed integration patterns and asynchronous pipelines to synchronize data between legacy systems, SaaS services and internal platforms.
• Implemented queue-based workers with RabbitMQ/BullMQ, retry policies, idempotency keys and dead-letter handling for reliable event processing.
• Built AI-assisted workflow steps for document parsing, classification, decision support and routine request handling.
• Created monitoring, tracing and error-recovery mechanisms that reduced mean time to detect and resolve integration failures.
• Delivered modular, domain-driven services that could be extended independently as business requirements evolved.