rahul.
AI ARCHITECTURE & ENGINEERINGPERSONAL PORTFOLIO / 2026

Rahul Yadav.

A thoughtful mind.
A hands-on builder.

I connect the big picture with the work it takes to get there. I shape architectures, find where AI adds value, and turn ideas into useful products.

Come see what I mean Request my resume ↗
AI-assisted editorial portrait of Rahul Yadav smiling by a window
THE PERSON BEHIND THE WORK01 / RY
Previously: Bed Bath & Beyond / InfosysSCROLL INTO THE WORK ↓

A FEW THINGS I’VE PUT MY MIND TO

Ideas, put to work./ 03

01 / SENTINEL-FIFINANCIAL INTELLIGENCE
FINDING WHAT GETS MISSED

Small leaks.
A bigger picture.

A financial audit system for spotting leakage in small-business transactions and turning findings into reviewable next steps.

Explore Sentinel-Fi ↗

The important boundary?
Analysis can inform action.
People still approve it.

Sentinel-FiAUDIT NOTE / 001

Where did the
money go?

Recurring paymentsReview ↗
Duplicate subscriptionsInvestigate ↗
Tax categorizationCheck ↗
FINDING → REVIEW → APPROVAL

Illustrated workflow · not a live audit

make the next step clear.
Inside the decisionsOPEN THE STORY
THE PROBLEM

Classification alone does not explain which financial issues deserve attention or what should happen next.

THE CHOICE

Separate the audit workflow from cleanup execution. Keep decision traces and require approval before consequential actions.

THE NEXT QUESTION

How should recovery and repeated requests behave before cleanup is connected to real financial operations?

02 / TRANSACTION AITRY A DESIGN DECISION

Does this really
need an LLM?

One of the most useful AI decisions is knowing when you already have enough information.

Transaction AI combines merchant signals, rules, ML, and selective LLM reasoning. Explore one branch of its fast-mode routing below.

Explore Transaction AI ↗
AT THE ROUTING DECISIONILLUSTRATIVE EXAMPLE

What do the existing signals tell us?

RULESFood & dining92% confidence
MACHINE LEARNINGFood & dining94% confidence
SKIP THE LLM

Enough agreement to take the simpler path.

Both signals agree and meet the 90% fast-mode threshold. This branch does not need an LLM call.

Synthetic signals, not measured model outputs. Illustrates the rule + ML branch with fast mode and LLM routing enabled; no model runs here.

03 / AI TECH NEWSROOMAN EDITORIAL EXPLORATION
IN DEVELOPMENT

Good stories start
with good questions.

An exploration of how research, writing, review, and publishing can work together in an AI-assisted editorial workflow.

Step inside the newsroom ↗
01 Find the story02 Give it shape03 Question the draft04 Prepare to publish
And a few smaller things

THE EXPERIENCE BEHIND THE WORK

A career built
by building.

I started in software engineering and automation. Today, I design and build AI systems. That journey taught me to care about the architecture and the details that make it hold up.

Request my full resume
JUN 2023 — PRESENTCURRENT

Backbase

AI Engineer · Jun 2024 — present

Architecture, development, and operations for AI systems across API integration, retrieval, transaction categorization, and test generation.

Previously Senior QA Engineer · Jun 2023 — Jun 2024

JUL 2021 — JUN 2023

Bed Bath & Beyond

Software Engineer in Test

UI and API automation, with a focus on making regression testing more effective.

JAN 2017 — JUL 2021

Infosys

Software Engineer

Automation, API testing, and quality checks integrated into delivery pipelines.

Rahul laughing outdoors beneath a wooden pergola
A little less architecture. A little more me.

BEYOND THE JOB TITLE

There’s a person
behind the projects.

Alongside the engineering, I write Hindi poetry, make cinematic videos, and explain AI through RahulDecodesAI.

I like having room for both: the careful thinking that a system needs, and the curiosity that makes you pick up a camera or write a few lines.

“Mukammal hu pura, ab koi kami nahi,
Ek goonj si hai mgr shor kahi nhi,”
My words, over at @rahulinks

LET’S MEET

Looking for someone
to take an idea further?

I’d love to hear about your team, the problem you’re solving, and where I could help.

Let’s have a conversation

AI architecture.
Practical engineering.
A person to build with.

Connect on LinkedIn ↗