Cloud Cost Forecasting System
Built an ML-based forecasting pipeline to predict cloud spend trends and support cost optimisation decisions.
View Project ↗London-based MSc Cloud Computing graduate student specialising in infrastructure automation, cloud cost optimisation, and DevSecOps-driven systems.
Built an ML-based forecasting pipeline to predict cloud spend trends and support cost optimisation decisions.
View Project ↗Designed a Terraform-based self-service platform allowing teams to provision Azure infrastructure through controlled GitHub Actions workflows.
View Project ↗Built a Terraform-based automation framework to manage Azure role-based access control (RBAC) securely, consistently, and at scale.
View Project ↗Created an automated AWS cost and security dashboard, reducing monitoring overhead and highlighting misconfigurations in real time.
View Project ↗
GenAI Developer Intern | Tata Consultancy Services (On-site)
Designed and automated deployment workflows using Python, reducing manual provisioning effort and improving infrastructure delivery speed by ~25%.
Investigated production incidents through structured root cause analysis, reducing recurring failures by ~30% and improving service reliability.
Supported cloud migration planning and execution, contributing to secure workload transitions and risk mitigation strategies.
Provided hands-on production support during active development sprints, helping maintain system stability and minimise downtime.
Worked closely with product and engineering stakeholders to align GenAI tooling improvements with business and platform requirements.
Cloud Infrastructure & Security Intern | Celebal Technologies (Remote)
Designed and implemented an Azure Hub-and-Spoke network architecture, improving security controls and reducing internal service latency by ~20%.
Configured VNet peering, VPN gateways, and Network Security Groups (NSGs) to strengthen network isolation and access control.
Contributed to modernising legacy systems by supporting containerisation initiatives, reducing deployment time by ~40% and simplifying release workflows.
Implemented CI/CD pipelines using Azure DevOps, improving build reliability and deployment efficiency by ~30%.
Collaborated with infrastructure teams to optimise server configurations, reducing resource overhead and improving application responsiveness.
Undergraduate Projects & Hackathons
Designed small-scale cloud automation tools, implemented containerization,
and explored Terraform for infrastructure management.
Participated in hackathons organised by various clubs focusing on cloud solutions and DevOps practices.
Short, practical write-ups on cloud engineering, DevOps workflows, and lessons learned while building production-grade systems.
Deploy AI models reliably at scale using automated pipelines, GPU infrastructure, and continuous monitoring.
Read article →Build self-service platforms that empower developers with golden paths, automation, and consistent guardrails.
Read article →Master cloud spending through visibility, optimization strategies, and cross-team collaboration for business value.
Read article →Interested in working together?
If you’re hiring for cloud or DevOps roles, I’d be happy to discuss how my work could fit your team.
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