Backend engineer focused on building and operating cloud-native APIs, with growing skills in DevOps and AI-powered features.

• 🔭 Currently building ToggleCraft – a feature flag platform for safe, progressive deployments (LaunchDarkly-lite).
• 🌩️ Interested in cloud-native architectures, DevOps, and platform engineering.
• 🤖 Learning to integrate LLM/AI features into backend systems in a practical, non-gimmicky way.
• 🌍 Open to backend roles in Russia → Poland → EU/US/Australia (remote or relocation).

• Languages: Python (primary), TypeScript (familiar)
• Backend: FastAPI, Django, REST APIs, background jobs
• Data & Storage: PostgreSQL, Redis, S3-compatible object storage
• Cloud & DevOps: Docker, Docker Compose, GitHub Actions, AWS (ECS/RDS/S3), Terraform (learning)
• Practices: CI/CD, feature flags, safe rollouts, observability basics (logging, metrics, health checks)

I’m actively building out a backend + DevOps + AI portfolio. Start with these:

A cloud-native feature flag platform for safe, progressive deployments and controlled rollouts.

• Multi-tenant projects, environments, and flags
• Snapshot API for low-latency flag evaluation
• Admin control-plane REST API + Python CLI
• Dockerized local stack (FastAPI + PostgreSQL + Redis)
• CI pipeline with tests on every push

➡️ Repo: coming soon

An AI-powered expense processing API that turns uploaded receipts into structured financial data using OCR + LLMs.

• File upload API for receipt images/PDFs
• Storage in S3 + structured records in PostgreSQL
• Background workers for async processing of receipts
• Integration with OpenAI / Textract-style services for extraction
• Designed with validation, error handling, and safe retries

➡️ Repo: coming soon

An uptime and alerting service that continuously probes URLs, stores results, and triggers alerts when services go down.

• API to register services and inspect check history
• Background workers to run scheduled health checks in parallel
• Alerting via email/webhooks on failures
• Metrics, logging, and health endpoints for observability
• Multi-container setup (API + worker) with Docker Compose

➡️ Repo: coming soon

These are planned follow-up projects that build on the same backend + DevOps + AI stack:

• InsightHub AI – Knowledge base Q&A service using embeddings, vector search, and LLMs for “ChatGPT over your documents”.
• PullRequest Guru – AI-powered GitHub code review bot that listens to webhooks and posts review comments on pull requests.
• TelemetryHub – IoT telemetry pipeline with stream processing, anomaly detection, and a scalable ingest/query architecture.

• Designing production-style architectures for backend services, not just toy apps
• Getting comfortable with AWS + Docker + Terraform for realistic deployments
• Building a feature-flag platform I can use across my own projects
• Leveling up from early-career backend dev → mid-level backend/platform engineer

• Email: [email protected]
• GitHub: @arhebs