sagar dasENGINEER BY TRADE.
CURIOUS BY DEFAULT.
DATA & AI ENGINEERSELECTED PROJECTS & ENGINEERING NOTES

Hi, I’m Sagar.

I build the data systemspowering AI

I turn fragmented enterprise data into reliable platforms, then build AI applications on top of them, from ingestion and processing to retrieval, evaluation, and production deployment.

See the work
Hello, and welcome to my portfolio.
PYTHON / SQL / SPARK / BIGQUERY / RUST / TYPESCRIPT20M events/day · 900+ modules modernized
01 / SELECTED WORK

Projects & case studies.

All projects
02 / THE APPROACH

The best systems make
the complex feel clear.

My work lives where data engineering meets product thinking. From enterprise lakehouses to local AI tools, I care about what happens beneath the interface and how it feels to use what’s above it.

Build the foundation. Keep the evidence visible. Make failure recoverable. These are the details that turn an interesting prototype into something people can rely on.

More about my background
900+Java modules → Spark + Beam
20M/dayevents into BigQuery
35+financial datasets → lakehouse
6h→45m119-table CDC + validation
03 / ALONG THE WAY

Good work.
Good company.

Full résumé
Aug 2026 – Present

Quantiphi

Senior Data Engineer

Oct 2025 – Aug 2026

Wells Fargo · via Capgemini America Inc.

Data Engineer

Sep 2023 – May 2025

University of Maryland

Data Specialist

Jul 2021 – Jul 2023

Tiger Analytics

Senior Software Engineer. Data Platform

04 / AWAY FROM THE SCREEN

A different kind of focus.

Wandering, noticing, making photographs.
A few frames from life in between.

05 / FIELD NOTES

Thinking out loud.

All writing
Nov 2025

The shape of a local-first data product

May 2026

Refusal is the feature grounded RAG actually needs

Mar 2026

Why AI should reason over metadata, not raw data

HAVE SOMETHING IN MIND?Let’s make
it matter.

Interesting problems. Thoughtful people. Good conversations.

Find me on GitHub