SGShubham Goyal
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Full-stack developer building scalable systems and clean user experiences.

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© 2026 SHUBHAM GOYAL · ALL RIGHTS RESERVEDPrivacy·Terms· BUILT IN INDIA · v2.0
SHUBHAM GOYAL · IN·FULL-STACK · 2026
● OPEN TO WORK · FULL-TIME / FREELANCE

I buildscalablesystems.I ship them fast.

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

Let's talk ↗Résumé
GO✦REACT✦POSTGRES✦DOCKER✦KAFKA✦GO✦REACT✦POSTGRES✦DOCKER✦KAFKA✦
001 / ABOUT

I care about latency.

SCROLL ↓

I'm a full-stack dev who genuinely enjoys backend engineering — distributed systems, real-time pipelines, the parts most people complain about.

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.

Get in touch ↗See work

Tech I reach for

Languages

Go · TypeScript

Frontend

React · Next.js

Backend

Node · Express

Realtime

WebSockets · Kafka

Data

Postgres · Mongo · Redis

Cloud

AWS · GCP · Cloudflare

DevOps

Docker · Linux · CI/CD

Observability

Grafana · Prometheus

002 / IMPACT

Measurable wins.

FROM PROD

3s → 1s

Page load

Streamed live data via Go + gRPC at ArchStore — 3× faster initial render.

1.1s → 200ms

Chat latency

Built a horizontally-scalable chat service with Gin, Gorilla WebSocket, and Redis Streams.

−30%

Query overhead

Tuned MongoDB and ClickHouse configs for large-scale analytical workloads.

003 / WORK

Selected projects.

VIEW ALL →
SeekrlyFEATURED

saas

Seekrly

A job-search manager and career CRM that combines application tracking, recruiter relationships, interviews, follow-ups, resume versions, browser-based job capture, APIs, and AI integrations in one system.

View case study→
Habit Trackerfull-stack-app

full-stack-app

Habit Tracker

A full-stack habit tracking platform with an AI-powered assistant, flexible habit scheduling, streak tracking, reminders, notes, a focus timer, web access, and a native Android app.

View case study→
Chat Apppersonal-project

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.

View case study→
+ MORE

20+ shipped

The full archive

Side projects, experiments, and client work going back three years.

Browse all→
← SCROLL OR DRAG →
004 / EXPERIENCE

Where I've shipped.

3+ YEARS
2025-08 → PRESENTCURRENT

CallMyDoctor

Backend Engineer

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.

  • →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.
2024-07 → 2025-07Past

ArchStore

Backend Engineer

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.

  • →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.
005 / NOW

Currently building.

↓
NOW · OCT 2026

Building healthcare operations infrastructure at CallMyDoctor, and exploring RAG pipelines with vector DBs on the side.

Latest focus: hardening session security with device fingerprinting, and getting our observability stack to surface incidents before users notice them.

backendwebsocketsdevopsai · llm

FREELANCE · WHAT I OFFER

  • 01
    Backend systems & APIs
    Go, Node, Postgres, Mongo
  • 02
    Realtime & WebSocket apps
    Chat, live data, pub/sub
  • 03
    DevOps & deployments
    Docker, Linux, monitoring
  • 04
    Full-stack MVPs
    Idea → shipped in weeks
006 / WRITING

Thoughts & learnings.

READ ALL →

Backend

Queues and Message Brokers: Redis, Kafka, RabbitMQ and How to Choose

A practical guide to queues and message brokers: how message delivery works, how Redis, Kafka, and RabbitMQ differ, where each fits, and how I think about choosing between them.

007 / GET IN TOUCH

Got a problem
worth solving?

Email me ↗Open contact form

[email protected]

Stay connected

Follow me.

Dev insights, side projects, and the occasional rant about latency.

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