FULL STACK DEVELOPER &
PRODUCT BUILDER

I build thoughtful digital products
with code, design,
and systems thinking —
from idea to impact.

Illustration of Chandan working at a multi-screen development desk

CHANDAN
VERMA

CHAPTER 01 / MY FIRST STARTUPGORAIN TECHNOLOGY · GT RESTRO

Founding Engineer Full Stack Developer

From beta.
To the dinner rush.

My first startup. A restaurant operating system. The challenge: help turn a beta into a product teams could rely on through a busy service.

My contribution, as part of a 5-engineer team.

LIVEVisit GT Restro

Live and serving restaurants. Take a look inside.

GTRestroRESTAURANT OPERATING SYSTEM

THE PRODUCT

GT Restro / Point of sale

GT Restro’s real POS interface: menu items, table orders, kitchen tickets and billing in one workspace

GT Restro POS running on a mobile screen

One product. Across screens.

Order

Kitchen

Table

Bill

01 / MY PART

I built the POS, Orders, Kitchen and Table modules—with role-based views and real-time Socket.IO sync.

Web Mobile Desktop + local data01 / 03

BUILT FOR
REAL SERVICE.

30,000+orders / day

250+tenants on shared infrastructure

200+daily active users

PRODUCT SCALE
DURING MY TENURE ↗

A little deeper into the engineering

Trust at checkout.

Razorpay integration with verified webhooks and reconciliation. JWT, OAuth and RBAC, with tenant isolation across data access and middleware.

Beta → production.

Within our five-engineer team, I fixed 200+ bugs, added RabbitMQ background jobs, and helped reduce peak-hour downtime by roughly 20–30% through auto-scaling.

Across the stack.

React · Node.js · Express · MySQL · Redis · Socket.IO · Electron · SQLite · RabbitMQ · Docker

Scale and performance figures reflect the work-period results provided in my résumé.

FIRST STARTUP. REAL RESPONSIBILITY. A LOT OF BUILDING.Next: my personal builds

PERSONAL BUILDS / ENGINEERING LAB

Built to be explored.

Two live apps. Built and shipped by me.
Open them. Try them. See what happens.
More experiments below.

01 / DISTRIBUTED SYSTEMSLIVE · SOLO BUILD

ScaleLab

Grafana monitoring dashboard showing Kubernetes pods scaling up alongside CPU, traffic, latency and memory charts. — A glimpse inside ScaleLab

A PLAYGROUND FOR REAL TRAFFIC

Turn up traffic. Watch it adapt.

Send thousands of requests to a real app. Watch its speed, database pressure and capacity change—and learn how scaling works.

01Choose the load
02Run a test
03Watch it scale

10K read reqs / secTested to handle up to 10,000 read requests per second

Auto-scaleKubernetes adds application instances as demand rises

THE TOOLS THAT MAKE IT WORK

Kubernetes HPAAutomatic scaling
k6Real traffic generation
Redis + PostgreSQLCached reads & sharded data
Prometheus + GrafanaApp & infrastructure metrics

The engineering underneath

I built the application, load controller, observability dashboard and infrastructure. The hardest part: running write-heavy tests without corrupting the demo store.

Isolated benchmark products, transactional stock updates, PostgreSQL shards and automatic cleanup make those experiments repeatable. React · TypeScript · Node.js · Prometheus · Grafana · Docker.

LIVETry ScaleLab Source & architecture

Open the dashboard. Explore a working system under load.

02 / AGENTIC AILIVE · SOLO BUILD

Bug Tracer

The real agent workflow showing planning, GitHub Actions reproduction, focused retrieval and diagnosis. — A glimpse inside Trace

A BUG REPORT BECOMES AN INVESTIGATION

A bug report in. Evidence out.

Describe what went wrong. Trace follows the code, tests backend bugs, and returns the likely cause with the exact source evidence.

01Describe a bug
02Trace investigates
03Inspect the proof

CI-verifiedBackend reproduction checked with a real failing test in GitHub Actions

2 AI callsFrom planning to diagnosis on the normal investigation path

THE TOOLS THAT MAKE IT WORK

LangGraphBounded agent workflows
GitHub ActionsIsolated test execution
Focused code RAGRelevant code & validated citations
FastAPI + GroqPython API & AI inference

The engineering underneath

I built the agent, retrieval pipeline, reproduction sandbox, interface and buggy target app. The hardest part: distinguishing an actual application bug from a broken generated test.

Deterministic classification, bounded repairs and validated citations keep the diagnosis grounded. Generated tests run in GitHub Actions, never on the agent server. Frontend reports return source-backed hypotheses.

Working V0 prototype. 38 agent tests and 8 target-app tests passing. Evaluation results are controlled cases, not production-user outcomes.

LIVETry Bug Tracer Source & architecture

Need a bug to investigate? Try the deliberately buggy store

THE WORKBENCH CONTINUES / 03—05

A few more things I’ve built.

More explorations in retrieval,
learning and real-time interaction.

03 / RETRIEVAL & EVALUATION

Lab RAG

A document Q&A lab. Upload PDFs, compare retrieval methods and inspect the evidence behind each answer.

Hybrid search, cross-encoder reranking and RAGAS evaluations.

ReactFastAPILangChainPGVector

Explore source Architecture notes

04 / AI & LEARNING

VideoMCQ

Turn videos into study material: segmented transcripts, editable quiz questions and exportable PDFs.

Whisper transcription meets local question generation with Ollama.

Next.jsWhisperOllamaMongoDB

Explore source Watch walkthrough

05 / REAL-TIME & INTERACTION

Banana Type

A typing playground for speed, accuracy and a little competition—with timed tests and multiplayer rooms.

Live WPM, accuracy feedback and Socket.IO rooms.

Next.jsTypeScriptSocket.IOTailwind CSS

Explore source Try typing

FROM INFRASTRUCTURE TO INTERACTION. ALWAYS BUILDING. More on GitHub

Next.js

React

TypeScript

JavaScript

HTML5

CSS3

Tailwind CSS

ShadCN UI

Vite

Node.js

Express.js

Socket.IO

JWT

Python

FastAPI

Java

LangGraph

LangChain

Groq

Ollama

Whisper

PostgreSQL

pgvector

MySQL

Redis

MongoDB

SQLite

Prisma

Electron

RabbitMQ

Razorpay

Docker

Kubernetes

NGINX

Prometheus

Grafana

GitHub Actions

Jenkins

Jest

Pydantic

Zod

AWS

Civo

Railway

Hostinger

Postman

Git

GitHub

Next.js

React

TypeScript

JavaScript

HTML5

CSS3

Tailwind CSS

ShadCN UI

Vite

Node.js

Express.js

Socket.IO

JWT

Python

FastAPI

Java

LangGraph

LangChain

Groq

Ollama

Whisper

PostgreSQL

pgvector

MySQL

Redis

MongoDB

SQLite

Prisma

Electron

RabbitMQ

Razorpay

Docker

Kubernetes

NGINX

Prometheus

Grafana

GitHub Actions

Jenkins

Jest

Pydantic

Zod

AWS

Civo

Railway

Hostinger

Postman

Git

GitHub

Next.js

React

TypeScript

JavaScript

HTML5

CSS3

Tailwind CSS

ShadCN UI

Vite

Node.js

Express.js

Socket.IO

JWT

Python

FastAPI

Java

LangGraph

LangChain

Groq

Ollama

Whisper

PostgreSQL

pgvector

MySQL

Redis

MongoDB

SQLite

Prisma

Electron

RabbitMQ

Razorpay

Docker

Kubernetes

NGINX

Prometheus

Grafana

GitHub Actions

Jenkins

Jest

Pydantic

Zod

AWS

Civo

Railway

Hostinger

Postman

Git

GitHub

A SMALL INTERMISSION

Beat the bot.Unlock the résumé.

A quick game before the formal introduction. You play as O; win the round and the résumé reward appears.

01 · Make your move02 · Beat the bot03 · Claim the résumé

View résumé

Interactive

PLAYER O

TIC—TAC—TOE

BEST OF ONE

The bot is thinking

about me

Moments That Shaped Me.

I’m Chandan Verma — a full-stack developer and product builder who believes the best way to grow is to build, break, learn, and build again.

I learn by building, solve real problems, and ship meaningful work.

Thanks for being here.

How I workStill curious.Still building.Always improving.

Swipe the story.
Tap a photo to explore.

01
Curiosity
Early years
1 / 8
School — Curiosity Takes Shape
School was where my curiosity began to take shape—through classroom questions, shared experiences, and friendships that stayed with me as I found my way into technology.
02
Learning
College years
1 / 12
College — Learning to Build
College introduced me to programming, while projects taught me how to use it. I learned by building, debugging, breaking things, and trying again.
03
Industry
Jun 2024 — Nov 2024
1 / 4
Internship — Entering the Industry
At ARC Document Solutions, I worked with Java automation, Jenkins CI/CD, Agile delivery, and production support — learning how professional engineering teams build and maintain software.
04
Product Builder
Apr 2025 — Present
1 / 3
First Startup — Becoming a Product Builder
At Gorain Technology, I moved beyond isolated tasks and helped build GT Restro across cloud, Electron, mobile, shared backend services, real-time workflows, payments, printing, and restaurant operations.
05
Now & Next
Now & Next
1 / 2
Now & Next
I’m continuing to build stronger products and deepen my understanding of scalable systems, backend architecture, real-time applications, infrastructure, and AI workflows.