π‘ Backend & Cloud Engineer specializing in building scalable distributed systems using Python, AWS, and microservices architecture.
π BSCS from FAST National University of Computer & Emerging Sciences
πΌ Software Engineer at Retrocausal (AI-powered manufacturing systems)
π Focused on backend systems, cloud infrastructure, CI/CD automation, and production reliability
π Portfolio: Areeka Aijaz
βοΈ Reach me at: areekaaijaz@gmail.com
π LinkedIn: Areeka Aijaz
- Scalable backend APIs using Django & Python
- AWS-based distributed systems (EC2, S3, RDS, IAM, Lambda)
- CI/CD pipelines for multi-environment deployments
- Elasticsearch-powered search & analytics systems
- Observability pipelines for production monitoring
- Secure cloud architectures using IAM, OIDC, and Terraform
- AI-assisted backend features integrated into production systems
- Migrated systems from static credentials β IAM roles + OIDC authentication
- Improved production security posture and eliminated credential exposure risk
- Standardized secure access patterns across multiple services
- Built GitHub Actions pipelines deploying to multiple AWS EC2 servers
- Reduced deployment time to minutes with zero manual intervention
- Improved release consistency across environments
- Designed search and analytics layer for production data
- Enabled real-time insights into system and product usage
- Built ingestion pipelines from backend systems to Elasticsearch
- Implemented centralized logging using CloudWatch + Logstash + Elasticsearch
- Improved production debugging and monitoring capability
- Introduced lifecycle policies for log cost optimization
- Built proactive video normalization system before processing
- Introduced async processing architecture for scalability
- Improved consistency of downstream AI/vision workflows
Backend: Python, Django, DRF
Cloud: AWS (EC2, S3, RDS, IAM, Lambda)
DevOps: Terraform, Docker, GitHub Actions
Data: Elasticsearch, SQL
Observability: CloudWatch, Prometheus, Grafana
Other: Linux, Git
- I design systems that are reliable under production load
- I prioritize automation over manual operations
- I build for observability and failure recovery
- I prefer simple architectures with clear failure modes
Open to Backend / Software / Platform Engineer roles



