Rudransh NagarSOFTWARE
ENGINEERING
FULL-STACK ENGINEER / APPLIED AINEW YORK · SESSION 001

RudranshNagar.

Built with precision. Made with feeling.

Engineer. Human.There’s another side. Tap the photograph.

START WITH THE WORKThe Document Engine A production rebuild, from problem to rollout.

Production software.
A personal approach to building it.

Explore the arrangement
THE ARRANGEMENT / SCROLL TO EXPLORE

Three projects.
One way of thinking.

Understand the problem. Build the whole thing.
Make the experience better.

01 / THE FOUNDATION

Document Engine.

AFFICIENCY / ARCHITECTURE · FULL-STACK · OWNERSHIP

The full case study ↗
01 / FIND THE FRICTION

I built the forms.
Then rebuilt the process.

I shipped a product’s forms in the legacy system before proposing a replacement. Two API calls stood between a change and seeing the page.

The bottleneck wasn’t the PDF.
It was working blind.

02 / CHANGE IT

Make the work
visible.

I built a single engine around templates I could open, see, and refine. Claude helped with the first draft; engineers and business teams checked the finish.

One product was the proving ground.

03 / PROVE IT

Two weeks.
Two days.

Elapsed development and testing for a product’s longest application form. The approach now powers every form across four products.

Create a document of your own ↗
SIMPLIFY THE WORK.Then connect the moving parts. ↓
02 / FROM AI OUTPUT TO TRUSTED STATE

FRIDAY.

LIVE PRODUCT / FULL-STACK · APPLIED AI · ORCHESTRATION

Open the product ↗
TRUST WHAT ACTUALLY HAPPENED.Then make it observable. ↓
03 / SEE WHAT HAPPENED

Monitorly.

SESSION REPLAY / DEBUGGING / FULL-STACK

An error tells you something broke.
A replay shows you how you got there.

ON THE WORKBENCH / EXPERIMENT IN PROGRESS

chatAssist

Better context. Clearer issue triage.

An experiment in giving an existing AI system the context and constraints it needs to triage an issue well.

KNOWLEDGERULESSKILLSCONTEXT
Being shaped. Implementation details and results will follow.
Rudransh working by a window overlooking New York
RUDRANSH NAGAR / NEW YORK
BEHIND THE WORK

Curiosity doesn’t
clock out.

I’m Rudransh, a full-stack engineer building production software and applied AI at Afficiency in New York.

I like taking a problem all the way through: understanding where people get stuck, choosing what to change, and staying with it until it works in their hands.

After work, I make music in Logic Pro, sing, and play guitar, bass, and keys. I enjoy figuring out how individual parts become something worth experiencing.

Tools & techniques

Product engineering

TypeScript / JavaScript · React · Next.js · Python · FastAPI · Flask · Node.js

Applied AI

LLM & RAG pipelines · LangChain · MongoDB Atlas vector search · Claude Code · Agentic workflows

Data & infrastructure

PostgreSQL · Redis · MongoDB · AWS · Docker · Kubernetes

Quality & operations

Playwright · Git · Splunk · Apigee

GitHub LinkedIn
THE NEXT SESSION

Something
worth making?

Let’s talk