Sai Manikanta Majeti

Sai builds the systems behind our client work — the automation pipelines, the conversational agents, and the data plumbing that ties a client's tools together so they stop being separate problems.

His work sits across machine learning and deep learning, the common AI/ML frameworks, and large language models. That last part is what most clients end up seeing: the assistant that answers their customers, or the process that reads a stack of documents and returns something structured.

The analysis side matters as much as the modelling. A lot of what he does comes down to the same thing — take a messy dataset, find the pattern in it, and present it in a form somebody can act on that afternoon.

He picks up unfamiliar systems quickly, which matters when every client runs a different stack.