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AI & Integration Engineer at JLL.
I give AI a job.
And make systems talk.
Two projects. Plenty of moving parts.
Here’s how they come together.
An agentic retrieval platform that connects enterprise information to language models, so the answer starts with the right context.
A little context changes everything.
Ask. Start with a question. The request enters the retrieval and inference workflow.
A distributed deep learning pipeline for turning large datasets into experiments you can train, profile, and compare.
One pipeline. Many moving parts.
Data. Large datasets enter a distributed processing workflow.
AI, data, and the engineering in between. Pick a category, then explore the tools.
From agent orchestration to retrieval and evaluation, I work on the pieces that make AI useful beyond a demo.
Pick a tool. There’s a method to the toolkit.
I like it when things click.
Especially when those things are AI models, APIs, and data pipelines. I’m Uday, an AI & Integration Engineer at JLL, building connections between intelligent technology and the systems people actually use.
Before that, I explored machine learning and intelligent systems as a graduate researcher at Clarkson University.
The fun part? Getting all the clever pieces to work together.
Production AI, retrieval workflows, agent orchestration, and the data pipelines that connect them.
Machine learning and intelligent systems research across predictive analytics, computer vision, and intelligent transportation.
Got a good problem?
LET’SCONNECT.