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areekaaijaz123/README.md

Hey there! I'm Areeka πŸ‘‹

πŸ‘¨πŸ»β€πŸ’» About Me

πŸ’‘ Backend & Cloud Engineer specializing in building scalable distributed systems using Python, AWS, and microservices architecture.
πŸŽ“ BSCS from FAST National University of Computer & Emerging Sciences
πŸ’Ό Software Engineer at Retrocausal (AI-powered manufacturing systems)
πŸš€ Focused on backend systems, cloud infrastructure, CI/CD automation, and production reliability
πŸ“Š Portfolio: Areeka Aijaz

βœ‰οΈ Reach me at: areekaaijaz@gmail.com
πŸ”— LinkedIn: Areeka Aijaz


🧠 What I Build (Engineering Focus)

  • 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

βš™οΈ Core Engineering Work (Real Systems)

πŸ” AWS Security & Infrastructure Hardening

  • 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

πŸš€ CI/CD Automation System

  • Built GitHub Actions pipelines deploying to multiple AWS EC2 servers
  • Reduced deployment time to minutes with zero manual intervention
  • Improved release consistency across environments

πŸ” Elasticsearch Analytics Platform

  • 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

πŸ“Š Observability & Logging System

  • Implemented centralized logging using CloudWatch + Logstash + Elasticsearch
  • Improved production debugging and monitoring capability
  • Introduced lifecycle policies for log cost optimization

πŸŽ₯ Video Processing Pipeline (System Design)

  • Built proactive video normalization system before processing
  • Introduced async processing architecture for scalability
  • Improved consistency of downstream AI/vision workflows

πŸ›  Tech Stack (Core)

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


πŸ“Œ Engineering Mindset

  • 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

πŸ“« Contact

Open to Backend / Software / Platform Engineer roles

πŸ“§ areekaaijaz@gmail.com

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