Building software
Your Business needs.
I'm Vidit Shah, a fullstack builder and DevOps engineer focused on the product, the backend, and the infrastructure behind it.
Where I've been shipping.
A brief timeline of the environments and problems I've worked in.
DevOps Engineer I
MRI Software, Vadodara, Gujarat
May 2026 to Present
- Set up Azure infrastructure and networking for Dev, QA, Staging, and Production environments from scratch, using Terraform.
- Provisioned other Azure resources with Terraform as new needs came up across the platform.
- Moved 4 projects off TFS, Octopus Deploy, and CCTray onto Git and Azure DevOps, and got the CI/CD pipelines working the same way across all of them.
- Built a pipeline that automatically backs up and encrypts project data to Azure Files.
- Debugged and fixed recurring issues in Dev and QA environments that were slowing down deployments.
DevOps Engineer Intern
MRI Software, Vadodara, Gujarat
Jan 2026 to May 2026
- Supported QA and Development environments for a large-scale enterprise application hosted on on-premise VMs.
- Monitored environments, troubleshot deployment issues, and resolved CI/CD pipeline failures in Azure DevOps.
- Developed PowerShell scripts to automate operational tasks and improve deployment workflows.
Software Developer Intern
Parthvitech Innovatives LLP, Vadodara, Gujarat
Dec 2022 to Mar 2023
- Managed AWS Ubuntu servers and handled deployments, version control, and basic server maintenance.
- Built and integrated RESTful APIs using Django and connected them to MySQL databases.
Things I've built.
Backends, platforms, and experiments across freelance work, personal projects, and deliberate learning.
GiftCafe
Backend for a multi-vendor marketplace focused on configurable ordering, payments, and reliable checkout under concurrency.
Echo
A campus marketplace app with real-time chat and deal negotiation, where I owned the backend, API, and deployment.
Self-Healing Kubernetes Platform
A production-style Kubernetes setup on a laptop with automated deployments, recovery, and monitoring built through failure testing.

AI News Pipeline
An AI publishing pipeline that ranked RSS stories, generated articles, and ran unattended in production for three months.
StarWarCompiler
A themed compiler built with Lex, Bison, and three-address intermediate code.
Tools, layers, and the way they fit together.
One refined view of the stack itself and the way I usually assemble it.
The left side shows the tools I ship with most. The right side shows how those tools usually snap into a product system.
This is the stack as a system, not just a list of tools. Product, backend, data, and platform decisions should reinforce each other.
Client
Interfaces that stay fast, calm, and readable across web and mobile.
API
Contracts, auth, and request flows designed for real product behavior.
Services
Business modules that can grow without turning into a tangled monolith.
Data
Storage chosen by access pattern, consistency needs, and scaling shape.
Platform
Deployments, observability, and runtime operations wired in from the start.
An engineer who ships, not just codes.
I'm Vidit Shah, a fullstack builder and DevOps engineer. I spend most of my time moving between building backends that hold up under real use and running the infrastructure they deploy on, often inside the same project.
A lot of that has come through freelance work: a multi-vendor marketplace backend with real payments and configurable ordering, a CRM delivered end to end for a real estate client, and an autonomous AI content pipeline that published articles with very little manual intervention.
More recently, I've been owning production infrastructure at MRI Software, provisioning Azure environments, migrating CI/CD pipelines, and building an automated backup pipeline that encrypts and uploads production data to Azure Files.
- Currently
- DevOps Engineer I, MRI Software
- Education
- B.Tech CSE, Navrachana University
- Experience
- 16+ months in DevOps and backend
- CGPA
- 8.2 / 10
- Location
- Vadodara, Gujarat, India
Signals from independent evaluators.
What I'm learning next.
A rolling list of ideas, tools, and patterns I am digging into right now.
MLOps
How teams deploy, observe, and serve models in production.
Rust
Using it for backend services and lower-level systems work.
gRPC
Designing service contracts that stay strict and predictable.
Microservices
Breaking systems into services without creating operational drag.
Event-driven architecture
Queues, pub/sub, and async communication between services.
AI in fintech
Practical uses like fraud detection, scoring, and risk workflows.
Have an idea?
Let's build something people remember.
I'm open to freelance backend and DevOps engagements, technical collaborations, and full-time conversations. The best way to reach me is a direct email. I read everything.