Praneeth Paikray

Hi, I’m Praneeth. I’m a Solutions Architect focused on making ambitious AI ideas work inside real organizations.

Over the last nine years, I have worked across enterprise IT, financial services, staffing, and data platforms. The recurring pattern is simple: the model is rarely the whole system. The difficult and interesting work sits around it, in data, tools, evaluation, interfaces, operations, and the judgment to know what should be automated.

At Databricks, I work with teams building production GenAI and agent systems. Outside customer work, I build open-source experiments, design technical workshops, and write about what I learn.

My recent work spans agent evaluation harnesses, autonomous AI engineering, document intelligence, real-time agents, and multilingual systems.

What I care about

Measured, not asserted

A fluent demo is a starting point. Claims should survive traces, held-out tests, model swaps, and boring edge cases.

Useful technical depth

I like explanations that preserve tradeoffs and implementation detail without turning jargon into a personality.

Reusable work

A good workshop or demo should leave behind an asset another engineer can understand, adapt, and run.

Elsewhere

Find my code on GitHub, shorter updates on LinkedIn, earlier essays on Medium, and models or datasets on Hugging Face.