Arash ▶ Mid Senior Python Developer
Summary: Passionate Python developer with 6 years of hands-on experience designing and deploying scalable microservices. Expert in Celery-managed task queues under heavy load, database tuning, containerized environments, and DevOps automation using Bash & CI/CD pipelines.
Technical Skills
- Python & Frameworks: FastAPI, Flask, Celery (6 years exp, expert level in asynchronous and distributed tasks)
- Databases: PostgreSQL (schema design & optimization), pgbouncer connection pooling, Redis caching & pub/sub
- Containerization: Docker, Docker Compose; deployed multi-container apps in production
- Orchestration & Messaging: RabbitMQ with Celery; built resilient worker clusters and monitoring
- ORM: SQLAlchemy—designed complex relationships, migrations, and performance tuning
- Microservices: Architected RESTful & WebSocket APIs; modular codebases with clear boundaries
- Scripting & DevOps Automation: Advanced Bash scripting, end-to-end CI/CD (GitHub Actions, GitLab CI, Jenkins), Infrastructure-as-Code (Terraform, Ansible), container lifecycle automation (Docker Compose & Helm), automated backups &
- Testing & Monitoring Automation: PyTest unit suites, Selenium E2E tests, automated code-quality gates
- AI Integration: Leveraging AI tools to generate code snippets, automate tests, and accelerate development
- Computer Vision & ML: Built a beginner-level OpenCV photo-detection app; experimenting with PyTorch & vision transformers
Professional Experience
Freelance Python Developer (2019 — Present)
- Developed a high-throughput analytics service processing >70m tasks/day using Celery & RabbitMQ.
- Optimized PostgreSQL queries, reducing average response time by 40% through indexing and pgbouncer pooling.
- Containerized applications with Docker; orchestrated multi-service deployments via Docker Compose and custom scripts.
- Built REST APIs with FastAPI; implemented JWT authentication, OpenAPI docs, and WebSocket endpoints.
- Integrated Redis to handle caching and real-time pub/sub messaging, achieving sub-50ms latency.
Key Achievements
- Scaled automation platform to handle 70 M+ requests with 99.9 % uptime.
- Led migration to async FastAPI architecture, reducing P99 latency by 35 %.
Entrepreneurial Vision
Currently ideating multiple AI-driven product concepts and seeking investor partnerships to develop MVPs.