Shubham Goyal
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Shubham Goyal

Full Stack Developer building scalable systems and clean user experiences.

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ShubhamGoyal

Full Stack Developer turning complex ideas into scalable, production-ready systems.

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3+Years Experience
20+Projects Shipped
10+Technologies
∞Lines of Code
Shubham Goyal
India

Tech Stack

Go · Node · React

3+ Years

Experience

Open to work

Full-time / Freelance

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About Shubham

Who I am

About Me

I'm a Full Stack Developer specializing in Go, Python and the MERN stack, crafting high-performance applications that scale effortlessly.

Beyond development, I handle DevOps — seamless deployments, optimized infrastructure, and reliable system performance. From backend logic to cloud architecture, I turn ideas into robust, production-ready solutions.

GoNode.jsReactNext.jsPythonDockerMongoDBPostgreSQL
Get in Touch

What I work with

My Stack

Languages
🐹Go
🔷TypeScript
🟨JavaScript
🐍Python
Frontend
⚛️React.js
▲Next.js
🌊Tailwind
🎨HTML/CSS
Backend
🟢Node.js
🚂Express.js
🔗REST APIs
🔌WebSockets
Databases
🍃MongoDB
🐘PostgreSQL
🐬MySQL
🔴Redis
Cloud
☁️AWS
🌤️GCP
🌩️Cloudflare
▲Vercel
DevOps
🐳Docker
🐧Linux
⚙️CI / CD
🌐Nginx
Messaging & Queues
📨Kafka
🐇RabbitMQ
🚀NATS
📡Pub / Sub
Tools & Workflow
🐙Git
📮Postman
📊Prometheus
📈Grafana
AI & LLMs
🤖OpenAI API
🔗LangChain
🧮Vector DBs
📚RAG

Where I've worked

Work Experience

A timeline of roles where I've built, shipped, and scaled real products.

01

Backend Developer

CallMyDoctor
2025-08—Present

Leading backend development for a Healthcare Business Operations Platform with focus on scalable architecture, deployment automation, and production monitoring using Node.js, Docker, and modern observability tools.

Highlights

Architected and developed the core backend architecture for a Healthcare Business Operations Platform using Node.js, Express, MongoDB, ensuring high performance, reliability, and clean modular design.
Solely responsible for end-to-end deployment and production monitoring of applications on Linux (Ubuntu) servers, ensuring stable uptime and streamlined release cycles.
Containerized and deployed applications using Docker and configured environment isolation for production; improved deployment speed and reduced configuration issues.
Implemented server monitoring and observability by integrating Grafana, Prometheus, and Node Exporter, enabling real-time tracking of CPU, RAM, Disk, and Network metrics across several VPS servers, significantly improving incident response time.
Designed and implemented a device-fingerprinting algorithm using IP analysis, User-Agent parsing, Geolocation APIs, and TTL-based checks to identify suspicious user activity, track visits even after logout, and strengthen session integrity.
02

Backend Developer

ArchStore
2024-07—2025-07

Built high-performance backend systems using Golang and Node.js, implementing real-time features, optimizing API performance, and achieving significant improvements in page load times and communication latency.

Highlights

Built real-time web integration using Golang and gRPC to stream data live to users, successfully reducing page load time from 3 seconds to 1 second for enhanced responsiveness.
Developed a scalable real-time chat service using Gin and Gorilla WebSocket to enable live communication between users and vendors, integrating Redis Streams to manage message queues and ensure accurate delivery across virtual machines.
Enhanced message delivery efficiency by using Redis Sets for offline message storage, which reduced average communication latency from 1.1 seconds to 200ms and supported horizontal scalability without connection bottlenecks.
Optimized server-side performance with Go-based microservices to handle background processing and task queues concurrently, reducing server load times from 700ms to 300ms and improving overall user engagement.
Engineered a high-performance web scraper using the Rod library to extract and integrate vendor data into the store database, enabling real-time visibility of changes to users.
Refined API performance using a combination of Node.js and Go, leading to a reduction in average page load time from 500ms to 300ms.
Improved data handling and query performance by tuning configurations in MongoDB and ClickHouse, achieving a 30% reduction in query overhead for large-scale data operations.

What I've built

My Projects

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Habit Tracker
personal-project

Habit Tracker

"Habit Tracker" is your MERN stack-powered solution for cultivating positive habits and transforming daily routines with seamless tracking and community support. Empower yourself to achieve your goals and unlock your full potential.

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ProteinSlice
personal-project

ProteinSlice

An e-commerce platform crafted using React, Tailwind, Redux, etc. with Express server powering the backend and MongoDB as database manager.

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Chat App
personal-project

Chat App

A fully functional one-on-one live chat application developed using the MERN stack, incorporating Socket.IO. The application is similar to WhatsApp.

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stock images
personal-project

Stock Images

Effortlessly search through a vast collection of stock images using this app. With it, you can access thousands of images seamlessly. Leveraging the Unsplash, Pixabay, and Pexels APIs, it delivers efficient results.

View Details

Thoughts & learnings

My Blogs

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Don't be shy

Get in Touch

Whether you have a project in mind, want to collaborate, or just say hi — my inbox is always open.

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[email protected]
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Follow Me

I share dev insights, side projects, and the occasional meme.

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