Backend engineer with 6+ years of hands-on production experience, specializing in system and software design. I build services that are scalable, observable and easy to maintain, with a strong focus on correctness, clean architecture and Python design patterns.
My work spans national-scale geospatial platforms, Persian NLP tooling, crypto/fintech exchanges and e-learning systems. I also hold an M.Sc. in Software Engineering.
🤝 Currently looking to collaborate on open-source projects. If you have something interesting around Python backends, geospatial data or developer tooling, let's talk.
| Domain | Highlights | |
|---|---|---|
| 🗺️ | Geospatial infrastructure | Large-scale national mapping & address services, Oracle Spatial / PostGIS, custom GeoAlchemy extensions, coordinate transformations with PyProj, Shapely and GDAL |
| 💱 | FinTech & crypto | Exchange backends handling 70,000+ orders in two months, multi-provider wallet aggregation with dynamic failover, webhook & WebSocket pipelines, Redis caching |
| 🔤 | Persian NLP tooling | Text normalizer, tokenizer, language detector, bigram generator, number recommender with 95% accuracy, web crawlers for news sources |
| 🎓 | EdU & LMS platforms | Course/quiz/lock logic, resumable uploads (TUS), dynamic pricing packages, complex MongoDB aggregations |
| 📁 | File services | Nested directory storage, secure temporary links, one-time download links |
| 🤖 | Telegram ecosystems | Bots and Mini Apps with full-stack architecture (FastAPI + Next.js) |
| Languages |
|
| Frameworks |
Celery · Scrapy · SQLAlchemy · GeoAlchemy · Lumen · MongoEngine · Graphene/GraphQL |
| Data |
PostGIS · Oracle Spatial · MariaDB · RabbitMQ |
| Infra & DevOps |
|
| Practices | Microservices · Design Patterns · SOLID · DRY · KISS · Refactoring · REST · Unit Testing · Agile / Scrum · CI/CD |
Most of my professional work lives in private, production codebases, so this list highlights public side projects and utilities.
- Design before code. Clear boundaries, explicit contracts, small and composable modules.
- Boring is beautiful. Prefer proven patterns over clever tricks.
- Production first. Observability, graceful failure and incident readiness are features, not afterthoughts.
- Measure, then optimize. Caching, indexing and async work where the numbers justify it.
I'm happy to chat about backend architecture, geospatial systems or open source.
