I am a Computer Science student at Rutgers University–New Brunswick focused on cloud engineering, platform automation, and production-minded full-stack systems. I like building tools that feel close to real infrastructure work: identity, dashboards, CI/CD, policy checks, cost visibility, generated deployment artifacts, and clean user workflows.
profile:
location: New Jersey
focus: Azure, platform engineering, automation, full-stack systems
current_stack: [FastAPI, Next.js, TypeScript, Python, Terraform, Docker]
operating_mode: ship practical projects, learn fast, keep systems observable
open_to: cloud & platform engineering roles|
Multi-tenant Azure optimization console with Microsoft Entra ID auth, cost insights, anomaly detection, and an AI copilot flow. OAuth2 On-Behalf-Of delegation · 6-rule optimization engine + z-score anomaly detection · 17-case pytest suite · CI + CodeQL + Dependabot |
Self-service platform engineering portal for workload onboarding, IaC/GitOps artifact generation, policy checks, drift detection, and cost governance. Live demo → 25 REST routes · generates Terraform/Helm/K8s/ArgoCD artifacts · OPA Gatekeeper + Conftest policies · 7 CI workflows |
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Production-style incident postmortem platform using React, TypeScript, Azure Functions, Cosmos DB, Bicep IaC, CI/CD, and AI-assisted analysis. 14 serverless endpoints · 43 Jest tests with coverage in CI · ~960 lines of Bicep + Terraform · Managed Identity, zero stored secrets |
Serverless user-management architecture built with Azure Functions, Cosmos DB, authentication workflows, and modern web tooling. Hosted frontend → Azure Functions + Cosmos DB · Bicep IaC · GitHub Actions deploy pipeline · App Insights observability |
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Fast, secure macOS notch overlay app, built in native Swift with a focus on performance and clean UX. |
Professional portfolio showcasing cloud engineering projects and web development skills. |
- Designing cloud dashboards that turn cost, drift, and workload state into useful engineering decisions.
- Strengthening Azure, Terraform, Docker, CI/CD, and identity workflows through practical repo builds.
- Building full-stack interfaces that make infrastructure workflows easier to understand and operate.
- Exploring AI-assisted automation where it can improve developer and operator workflows.
Build useful systems. Automate the repeatable work. Keep the interface clean. Make the infrastructure understandable.
I am working toward cloud and platform engineering roles where I can combine software development, infrastructure, automation, and user-focused tooling. The goal is simple: keep learning, keep shipping, and turn hands-on technical work into reliable engineering judgment.
