I build data systems, right next to the people who use them.
Data and AI engineer in NYC. I work end to end and forward deployed, from streaming and batch pipelines to the analytics and ML a business can actually act on.
The full stack, one pipeline.
I work end to end, from raw data landing to a decision a business can act on. Click a stage to see what I use there, or drag to reorder the pipeline.
Things I've actually shipped.
Each one as a short case study: the problem, the architecture, the build, the result. Open one.
I don't just build pipelines. I solve the problem end to end.
Understand
Talk to stakeholders. Pin down the real business problem before touching code.
Investigate
Map the data, systems, and workflows. Find where things actually break.
Build
Pipeline, AI, automation, or app, whatever the problem needs, built to hold up.
Deploy
Ship it to a real cloud/production environment, not a notebook on my laptop.
Measure
Track the business impact. Iterate until the number actually moves.
The record, dated.
Four roles, the real problems behind each one. Every claim here traces back to my resume.
From Mumbai to NYC,
building systems that create impact.
Two cities shaped how I solve problems and build for what's next, one gave me the foundation, the other the ambition.
Where it all began.
The city that shaped my curiosity, resilience, and love for solving real-world problems.
Where I'm building what's next.
A global hub of innovation pushing me to think bigger, build smarter, and create impact at scale.
Built the foundation, code, logic, and problem solving.
Analytics, automations, and dashboards that created business impact.
M.S. in IT & Analytics with an ML focus, deepening my skills in data, AI, and real-world systems.
From RAG systems to data pipelines, building solutions that solve real problems.
Continuously learning, building, and delivering systems that make a difference.
Data I've worked across.
Real POS, cost, and inventory data flowing through the systems I build, spanning brands you know.
Let's turn it into a system.
Open to Forward Deployed, AI Engineer, and Data Engineer roles.