Farhad – AWS, Python, Kubernetes

It's one of the largest schools in Australia. In this project, a unified human resource application needed to be integrated with other applications in the organisation.

• Designed a unified integration architecture for Oracle HCM, seamlessly connecting it with Finance, Payroll, Ticketing, Active Directory, and other systems.
• Worked closely with vendors, stakeholders, business analysts, and delivery teams to ensure the integration design was accurate and effective.
• Mapped key touchpoints to ensure smooth data flow from source systems to downstream applications, aligning seamlessly with organizational requirements.
• Partnered with the security architect to ensure all design decisions complied with current security standards, with a strong focus on enforcing encryption in transit and at rest across all integration points.

An event-driven system responsible for processing card-not-present financial transactions, a highly secure and scalable data processing solution backed by AWS and Kafka.

• Collaborated with the security architect to deliver a security-by-design solution enforcing encryption in transit and at rest across all integration points, deployed and hardened on Linux-based infrastructure.
• Leveraged HashiCorp Vault on Linux for secret management, signature verification, payload decryption, access segregation via namespaces, key vaults, and IAM policy enforcement, complemented by automated security scanning pipelines.
• Designed a fault-tolerant, self-healing architecture on AWS using Kafka and Linux-based compute (EKS), incorporating automated failover, health checks, and system recovery mechanisms.
• Engineered a high-performance, in-memory unique ID generation algorithm optimised for clustered Linux environments, ensuring consistency and collision resistance at scale.
• Architected and implemented integrations with NAB's downstream systems, leveraging Linux shell scripting and tooling to automate deployment, monitoring, and operational workflows.
• Partnered cross-functionally with engineering and architecture teams to validate that all implementations aligned with architectural standards, security compliance requirements, and operational best practices.

The largest AWS project in Australia for the Australian Bureau of Statistics.

• Designed and implemented a secure, scalable deployment infrastructure to meet the operational demands of a critical government project.
• Developed an advanced DevSecOps pipeline for a secure government project, streamlining operations and enhancing security.
• Improved processes to achieve OWASP SAMM maturity level 3, demonstrating compliance and robust security practices.
• Achieved a significant deployment time reduction, from over four hours to under 30 minutes, by implementing continuous integration and deployment practices that enhanced team productivity and system reliability.
• Managed pipeline and CloudFormation code reviews to ensure code integrity and security, collaborating with SMEs to comply with Information Security Manual guidelines on information protection, system security, access control, and encryption.
• Integrated the DevSecOps pipeline with key security tools, SonarQube, Checkmarx, Black Duck, and OWASP ZAP, to strengthen security, enable continuous monitoring, and ensure compliance with best practices.
• Worked as a SRE team member and optimise teams day to day responsibilities using effective automation.

It's an insurance API that automates processes around a contract-first approach, saving hundreds of hours for developers and BAs.

• Worked with BAs to design various microservice APIs with OpenAPI specifications.
• Developed tools and utilised OpenAPI Extensions to automatically generate Java models from contracts.
• Implemented APIs in Java, and Spring Boot on Kubernetes.

A banking solution implemented using the LMAX Disruptor pattern was deployed across VMware virtualised nodes, with Puppet used to automate the configuration and provisioning of those nodes to ensure a consistent and repeatable infrastructure setup.

• Utilised Puppet to automate the configuration and provisioning of VMware nodes, establishing a consistent and repeatable infrastructure for running a high-performance banking solution built on the LMAX Disruptor pattern.

Running computationally intensive biotechnology algorithms (think genomics, protein folding, molecular dynamics, or DNA sequencing analysis) that are too slow on traditional CPUs, by rewriting or adapting them to run in parallel on NVIDIA GPUs using CUDA.

• Designed and implemented a high-performance parallel computing solution, executing biotechnology workloads using CUDA across a bare-metal clustered NVIDIA GPU environment.