Cloud Engineer & AI Developer
Building production-grade cloud infrastructure on AWS & GCP. 300+ labs, 25+ verified badges, and real-world systems deployed with Terraform & Kubernetes.
Deploying modern apps, automations, and AI agents
Specializing in cloud infrastructure and scalable systems, built with production-grade quality.

I build cloud infrastructure on AWS and Google Cloud — multi-tier architectures, Kubernetes clusters, and infrastructure as code with Terraform. My focus is designing systems that are secure, scalable, and actually run the way production environments demand, not just tutorial-deep.
I'm a Computer Science undergraduate, and I've backed that foundation with 300+ hands-on labs and 25+ verified cloud badges across AWS and GCP — learning by deploying real infrastructure, not just watching videos.
Alongside cloud engineering, I explore AI tools and prompt engineering to build smarter applications, and I write technical eBooks that turn what I've learned into resources other people use.
300+ hands-on labs. 25+ verified badges. Real infrastructure, real numbers.
AWS & Google Cloud (Self-directed, hands-on training)
Google Cloud (Challenge-Based Learning)
Self-Initiated Applied Work
Independent EdTech Platform
Production-grade cloud infrastructure, designed and deployed independently.

A production-style multi-AZ architecture built for real-world scale and security.

A production Kubernetes cluster, fully provisioned as code.

A serverless container deployment with zero server management.

Stay Ahead of Every Deadline — a full-stack deadline tracking app.
Core competencies, backed by hands-on labs and deployed projects.
Amazon Web Services (AWS) — VPC, EC2, RDS, ECS, EKS, IAM
Google Cloud Platform (GCP) — Compute Engine, GKE, Cloud Run, BigQuery
Terraform — modular infrastructure provisioning
Kubernetes — cluster design and container orchestration
Docker — containerization and image management
VPC Design — subnetting and multi-AZ network isolation
Defense-in-Depth — layered security group chaining and firewall filters
IAM Design — least-privilege access roles and customized policies
AI-assisted development — Gemini, Cursor, V0, Antigravity, prompt engineering — used to accelerate platform-building and content creation on Woxora.
Verified credentials from AWS and Google Cloud — view all on Credly →
Amazon Web Services
Graded, hands-on lab-based badge validating core AWS cloud practitioner competencies.
Amazon Web Services
Scenario-based simulation training focusing on AWS cloud architecture and business cases.
Amazon Web Services
Applied AWS Well-Architected Framework pillars to design secure, high-performing, resilient, and efficient systems.
Amazon Web Services
Validated knowledge of core AWS Cloud infrastructure, security, architecture, and pricing.
Amazon Web Services
Introductory course covering cloud fundamentals, history, and basic service models.
Google Cloud
Full learning path completed. Official certification exam scheduled and in progress.
Google Cloud
Google Cloud certified generative AI business leader and tech strategist credentials.
Google Cloud
Official Google Cloud academic certificate validating foundational cloud infrastructure capabilities.
Certified university student specializing in Generative AI and Google's Gemini platform.
Linux Foundation
Cybersecurity fundamentals and best practices for Linux and open-source infrastructure.
Google Cloud Skills Boost
Achieved the highest global contributor tier (Diamond League) with 33,342 points.
AWS & Google Cloud
Completed over 300+ scored hands-on labs covering networking, databases, serverless, and IAM.
Credly
Earned 25+ verified digital credentials across AWS and Google Cloud systems.
Technical eBooks and guides — turning hands-on cloud experience into resources other learners use.

By Nishan Singh
A practical guide to core GCP infrastructure — compute, networking, IAM, and deployment fundamentals — built from real hands-on lab experience.

By Nishan Singh
A hands-on introduction to Kubernetes on Google Cloud — covering cluster architecture, workloads, and deployment patterns for engineers getting started with container orchestration.

By Nishan Singh
A foundational guide to Linux fundamentals for cloud and DevOps engineers — covering the command line, file systems, and core administration skills.
I'm actively looking for Cloud Engineering opportunities where I can apply hands-on AWS and GCP experience to real infrastructure problems. If you're hiring, or just want to talk cloud architecture, reach out — I'd love to connect.