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Hammad Iqbal

@hammadiqbal1

DevOps Consultant at Systems Limited, modernising banking platforms with Terraform and cross-region disaster recovery.

Pakistan
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At Systems Limited, I support AWS and Azure banking platforms for ABC Bank and RakBank, including Temenos Transact core banking environments. I built UAT2 and SIT2 environments and a cross-region disaster recovery environment in Frankfurt using Terraform.

For ABC Bank, I upgraded a production EKS cluster across four Kubernetes versions while maintaining production stability, and migrated 93 EC2 instances to Amazon Linux 2023 ahead of end-of-life. I also support monitoring and incident processes for critical banking services.

At Aerodyne Group, I re-architected Azure Pipelines across 15+ projects, reducing deployment time by approximately 60% through parallel execution and reusable YAML templates. I also supported Kubernetes cost optimisation and integrated security controls into release pipelines.

Earlier, at Contour Software, I led migrations of legacy applications to AWS and Azure, and at Allied Bank Limited I supported customer-facing banking applications including MyABL and Raast Payment Gateway. I hold AWS, Microsoft Azure and Google Cloud certifications, and my final-year project was an emotion recognition system that achieved 89% accuracy.

Experience

Work history, roles, and key accomplishments

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Current

Education

Degrees, certifications, and relevant coursework

University of Agriculture Faisalabad logoUF

University of Agriculture Faisalabad

Bachelor of Science, Computer Science

2017 - 2021

Activities and societies: Final year project: Developed an emotion recognition system for especially abled children using labelled facial expression dataset from Kaggle, trained a CNN on it, and after tuning achieved 89 percent accuracy.

Bachelor of Science in Computer Science from the University of Agriculture Faisalabad, Punjab, Pakistan, from 2017 to 2021. Final year project developed an emotion recognition system for especially abled children using a CNN, achieving 89% accuracy.

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