Shruti Karmarkar

AI Engineer · Data Scientist · NYU

I turn data into decisions and ideas into systems. The how is where it gets interesting.

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About

I don't just build models.
I build conviction.

I'm an AI engineer and data scientist drawn to the hard part — the ambiguous brief, the messy dataset, the decision no one's quite sure how to make. That's where I do my best work, and where I find it the most fun.

At NYU Tandon I'm finishing my M.S. in Computer Engineering, focused on AI and data science. I build multi-agent systems, ML pipelines, and analytics that hold up in production — not just in a notebook — and I care as much about the decision they drive as the metric they hit.

What pulls me forward is the gap between what data could say and what most teams actually hear. I close it. And I'm genuinely curious what you'd ask your data if you knew it could answer.

"The best insight is the one a business didn't know to ask for."

Shruti Karmarkar
What I Do

Three disciplines.
One direction.

01
Multi-Agent AI

Production systems where multiple AI agents collaborate to automate complex, high-stakes workflows.

02
Data Intelligence

Turning raw data into the story a business doesn't know it's telling — with models that scale.

03
Analytics & Storytelling

Bringing quantitative rigor to decisions that used to run on instinct alone. Data as a creative tool — not just a report.

Selected Work

Projects that solve
real problems.

↔ Drag / scroll
01

ClaimIQ

Multi-agent insurance adjudication — autonomous agents that read, reason over, and resolve claims end-to-end.

Next.js 14TypeScriptClaude APILangSmith
View Live Site
02

SaaS Churn Copilot

A LangGraph churn-intelligence platform that predicts at-risk accounts and recommends the save.

PythonXGBoostLangGraphFAISSPostgreSQL
View Live App
03
Macy's Competitor Intelligence Dashboard

Macy's Competitor Intelligence

An interactive Tableau dashboard built on real SEC & Statista data — mapping Macy's against the field.

TableauSEC DataStatista
View Dashboard
04
Bank of America Financial Intelligence Dashboard

Bank of America Financial Intelligence

A financial-intelligence Tableau dashboard distilling performance signals into a single executive view.

TableauFinancial Modeling
View Dashboard
05

Neutrogena Sales Forecasting

Review sentiment + topic modeling fused with a Random Forest to forecast sales — R² = 0.94.

VADERLDARandom ForestPython
View on GitHub
Experience

The road so far.

Summer 2024
Data Science Intern — AI Sourcing
Xometry

Built data-driven sourcing intelligence for a manufacturing marketplace, applying ML to match supply with demand at scale.

2022 — 2023
Research Data Scientist
Gilbert Research Center

Led applied research turning experimental datasets into models and insight, bridging the gap between raw findings and decisions.

2023 — Present
M.S. Computer Engineering
NYU Tandon School of Engineering · AI / Data Science

Specializing in AI and data science — building multi-agent systems, ML pipelines, and the analytical foundation for a career in luxury strategy.

Where I'm Headed

I don't want a seat at the table.
I want to redesign what's on it.

I want to be in the rooms where the real decisions get made — helping ambitious teams use data science and AI to shape strategy, not just ship dashboards. I believe most organizations are sitting on the most underused asset they own: their own data. I'm here to change that, wherever the problem is hard enough to be worth it.

I'm drawn to the problems no one has cracked yet. If that's the kind of work you're doing — let's talk.

The Toolkit

The toolkit.

AI & LLMs

  • LangChain
  • LangGraph
  • RAG Pipelines
  • Multi-Agent Systems
  • Claude API
  • FAISS
  • LangSmith

ML & Modeling

  • XGBoost
  • Random Forest
  • NLP / VADER
  • LDA
  • Feature Engineering
  • A/B Testing

Engineering

  • Python
  • TypeScript / Next.js
  • PostgreSQL
  • Docker
  • PySpark

Analytics & Viz

  • Tableau
  • SQL
  • Pandas
  • Matplotlib
  • Statistical Modeling
  • Data Storytelling

Let's build something
that matters.

If you're working on something ambitious — I want to hear about it.