Cloud Engineer | DevOps | Data EngineerCloud Engineer | DevOps | Data Engineer

Key Achievements:

Trained AI models using curated datasets including image captioning and data labelling, applying Supervised Fine-Tuning (SFT) to align models with specific task objectives, improving accuracy and reliability of AI outputs. Conducted quality evaluation tasks to rigorously assess model outputs, identifying errors and inconsistencies to ensure performance benchmarks were consistently met.

Key Achievements:

Implemented cloud security infrastructure and designed secure architectures for in-house Azure applications, improving security posture and compliance. Conducted cloud security risk assessments and recommended mitigation strategies. Deployed Microsoft Sentinel, Azure Arc, and Azure Monitor for improved threat detection and operational visibility. Defined and enforced enterprise-level cloud security controls and configured Azure Key Vault with key management policies. Implemented BCDR solutions for mission-critical workloads. Automated deployments using Bicep, ARM templates, and Terraform. Translated customer requirements into technical specifications and collaborated with QA and business analyst teams.

Key Achievements:

Migrated customer workloads to Azure (PaaS and IaaS), including on-premises, VMware/Hyper-V, and AWS-to-Azure web services, reducing infrastructure and operational costs. Deployed Microsoft Sentinel and advanced security solutions with data connectors, analytics rules, and automation. Designed scalable, fault-tolerant architectures (App Service, Azure Functions, VMs, Site Recovery) for high availability. Built and maintained Azure DevOps CI/CD pipelines and automated provisioning with Terraform, Bicep, and PowerShell. Configured hybrid connectivity (S2S VPN), Azure File Sync, and IAM with MFA. Monitored infrastructure with Log Analytics and Azure Monitor.

Key Achievements:

Designed and deployed cloud-based solutions on Azure and AWS, delivering secure, scalable, and cost-optimised environments for diverse client projects. Developed and customised websites and web applications using JavaScript, Python, and WordPress, with backend integration to SQL and Oracle databases. Implemented automation and deployment pipelines to streamline application delivery and improve operational efficiency.

Key Achievements:

Cleaned and explored public utility datasets using Python, delivering summary statistics and visualisations that informed business decision-making. Developed a regression model in Python to analyse the effect of eight input variables on two output variables, improving predictive accuracy for business insights. Built and connected Kubeflow pipeline components, improving workflow automation and reducing data processing time.

Key Achievements:

Interpreted geological and geophysical data to create subsurface maps, improving the accuracy of exploration planning and resource allocation. Conducted basin modelling, source rock modelling, and reservoir modelling to support strategic exploration decision-making.

Key Achievements:

Developed websites, web applications, and software products using JavaScript, Python, Java, Oracle, and SQL databases, enhancing user engagement and platform functionality. Conceptualised and executed social content strategies across platforms, increasing audience engagement and brand visibility. Generated and managed social distribution plans and schedules aligned with marketing and business objectives, improving campaign effectiveness and audience reach.