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