Senior Software Engineer | Python Backend • Distributed Systems • AI Infrastructure • Cloud

Senior Software Engineer with nearly 6 years of experience architecting scalable Python applications, distributed processing systems, and enterprise-grade backend platforms.

Specialized in Python, FastAPI, Django, PostgreSQL, Apache Kafka, microservices, and event-driven architectures, with hands-on experience building high-performance backend infrastructure for AI-powered video surveillance, real-time streaming, multi-tenant SaaS, and enterprise applications.

My engineering focus includes:

• Distributed Systems: Designing fault-tolerant, asynchronous, and event-driven backend architectures.
• Performance Engineering: Optimizing PostgreSQL queries, API latency, application startup, and resource utilization.
• AI & Video Infrastructure: Integrating NVIDIA DeepStream, TensorRT, Kafka, WebRTC, and real-time GPU inference pipelines.
• Cloud & Infrastructure: Building scalable containerized systems using Docker, Kubernetes, AWS, GCP, and Terraform.
• Security & Reliability: Implementing secure authentication, encryption, observability, and resilient production systems.

I enjoy solving complex engineering problems, eliminating performance bottlenecks, and building maintainable systems that scale efficiently.

Python • SQL • FastAPI • Django • Django REST Framework • Flask • Peewee ORM • Odoo

Apache Kafka • RabbitMQ • Celery • Redis • Microservices • Event-Driven Architecture • Asynchronous Processing

PostgreSQL • MySQL • MongoDB • SQL Server • Oracle • Qdrant • MinIO • S3-Compatible Object Storage

Docker • Docker Compose • Kubernetes • AWS (ECS, Lambda, RDS) • GCP • Terraform • Jenkins • Ansible • Linux • Git

NVIDIA DeepStream • TensorRT • GStreamer • CUDA • ONNX • go2rtc • WebRTC • RTSP • FFmpeg • MSE

Distributed Systems • Clean Architecture • Modular Monoliths • Multi-Tenant SaaS • RESTful APIs • gRPC • System Design

OAuth 2.0 • OIDC • AES-256-GCM • Grafana • Splunk • Zabbix • Trivy • Gitleaks • Ruff • BDD/Cucumber

• 9x Faster Application Startup: Re-architected background processing and daemon orchestration, reducing cold-boot time from approximately 90 seconds to 10 seconds.
• 20,000x Faster Database Lookups: Optimized PostgreSQL retention queries and indexing, reducing benchmarked lookup latency from 772 ms to 0.038 ms.
• 85.5% Lower Processing Latency: Optimized Kafka-driven GPU inference integrations using bounded queues, incremental streams, and workload isolation.
• Real-Time Video Infrastructure: Built low-latency streaming architectures using go2rtc, WebRTC, RTSP, and FFmpeg with resilient playback fallback.
• Scalable AI Processing: Designed distributed facial recognition workflows using Kafka partition routing, idempotent consumers, and camera-level scheduling.
• Enterprise-Scale Platforms: Engineered backend systems supporting 50,000+ active users, high-traffic applications, and multi-tenant enterprise services.
• Production Security: Implemented encryption at rest, centralized identity management, automated security scanning, and enterprise security compliance controls.

• High-performance Python backend engineering
• Distributed systems and event-driven architectures
• AI inference infrastructure and real-time video processing
• PostgreSQL performance and database scalability
• Cloud-native infrastructure and production reliability
• Secure, scalable enterprise software architecture

M.Sc. in Information Technology — Information Systems Management
Shiraz University

B.Sc. in Biomedical Engineering
University of Isfahan

• celery/celery – Distributed Task Queue (development branch)
  ⭐ 29117 | 🕒 Updated: 2026-11-01