GCP Certified Associate Cloud Engineer

Hi, I'm Mohit Debnath

I build |

Certified Google Cloud Associate Cloud Engineer with practical experience creating production-level Kubernetes deployments using GKE. Built and deployed infrastructure tooling used by over 20,000 end-users. Focused skills in GCP, Terraform, and CI/CD automation.

0K+ End Users Reached
0% Processing Time Reduced
0% Automated Builds
mohit@cloud:~
$ kubectl get pods --all-namespaces
NAMESPACE    NAME            READY   STATUS
production   api-deploy-7d   1/1     Running
production   web-deploy-3f   1/1     Running
$ terraform plan
Plan: 12 to add, 0 to change, 0 to destroy.
$ gcloud compute instances list
All instances healthy. Uptime: 99.97%
$ _

01. About Me

I'm a Certified Google Cloud Associate Cloud Engineer and B.Tech graduate specializing in Cyber Security at G.H. Raisoni College of Engineering (7.49 CGPA).

I have practical experience creating production-level Kubernetes deployments using GKE, and have built and deployed infrastructure tooling used by over 20,000 end-users. My focus is on GCP, Terraform, and CI/CD automation.

At Xpress Gaming, I was a sole developer for a full-stack web + Android platform with 20,000+ registrations and 20,000+ visits, reduced manual art processing time by 35%, and minimized image generation bottlenecks through serverless Python scripts integrated with GCP Cloud Functions. I'm now seeking Cloud Engineering or DevOps roles where I can contribute to building resilient, scalable infrastructure.

Education

B.Tech – CSE (Cyber Security)

G.H. Raisoni College • 2022–2026 • 7.49 CGPA

Location

Nagpur, Maharashtra

Open to relocate

Certification

GCP Associate Cloud Engineer

Google Cloud • 2026

Looking For

Cloud / DevOps Roles

Entry-level • Full-time

02. Experience

Technical Intern

Xpress Gaming Pune, Maharashtra

Jun 2025 – Nov 2025
  • Sole developer for Kandivali Skill Centre, a full-stack web + Android app (Next.js, React, Capacitor.js, Docker, Kubernetes) platform live with 20,000+ registrations and 20,000+ visits as of July 2026.
  • Reduced manual art processing time by 35% by engineering an internal Python script using Google App Script and ChatGPT's Image API to automate the game asset refinement pipeline.
  • Minimized manual image generation bottlenecks by processing batch prompts from a Google Sheet in under 25 seconds, through a serverless Python script integrated with GCP Cloud Functions, OpenAI, and Google Drive APIs.
Next.js React Capacitor.js Docker Kubernetes Python GCP Cloud Functions

03. Featured Projects

Infrastructure Service Creation Platform

May 2026 – June 2026

Reduced cloud infrastructure design time from hours to seconds for small service creation (e.g., a URL shortener with 10,000 users), ensuring syntax-correct HCL configurations and predictable monthly cost estimates by automating Terraform IaC generation with JSON schema enforcement.

  • Interactive visualizer built with Excalidraw & Mermaid.js for editing AI-generated infrastructure layouts
  • Multi-cloud architecture ranking by cost estimation across AWS, GCP, and Azure
  • Single code layer handling prompt engineering for multiple cloud providers
React 18 Gemini 2.5 Terraform GCP Node.js

Infrastructure Automation Platform

Replaced manual cloud setup steps with a single web UI, automating the entire cloud lifecycle from creation to cleanup by building a React and Node.js portal that triggers Terraform scripts on GCP. Modular Terraform blueprints guarantee identical development and production environments, making all deployments completely repeatable at any scale.

  • 100% automated code testing & deployment via GitHub Actions
  • Secure, VPC-isolated environment with tight IAM controls
  • Reproducible deployments at any scale with modular Terraform blueprints
Docker Terraform React Node.js GCP GitHub Actions

Kubernetes Helm Deployment

Moved a Flask API onto GKE using Docker and Helm charts, making the application modular, easy to scale, and completely repeatable across environments. Built modular Helm charts to orchestrate Kubernetes clusters, keeping resource setups consistent and preventing manual configuration mistakes.

  • Kubernetes HPA for auto-scaling under heavy user traffic
  • Modular Helm Charts preventing manual configuration mistakes
  • Cost-efficient scaling without overspending on idle cloud resources
DevOps Kubernetes Helm GCP Python

04. Technical Skills

Cloud & Infrastructure

GCP GKE IAM VPC Load Balancing Kubernetes Docker Helm Terraform Linux

CI/CD & Automation

Jenkins GitHub Actions Deployment Automation Pipeline Design

Monitoring & Reliability

Prometheus Grafana Health Checks Resource Optimization

Development

Python Node.js REST APIs

Version Control & Tools

Git GitHub Shell Scripting

05. Certifications

06. Get In Touch

I'm currently looking for Cloud Engineering and DevOps opportunities. Whether you have a question, a project idea, or just want to connect — my inbox is always open!