Neharika Jali

I am a fourth year PhD student in Electrical and Computer Engineering, Carnegie Mellon University advised by Prof. Gauri Joshi. I also collaborate with Prof. Guannan Qu. 

At CMU, I design theoretically grounded algorithms for efficient ML Inference Systems. I have developed policy gradient based RL algorithms for efficient resource allocation in non-stationary and heterogeneous ML systems. My research interests broadly lie in reinforcement/machine learning, optimization and applied statistics.

I spent Summer '25 at Amazon in Santa Clara working on RL based adaptive RAG methods for LLM Agents.

I was previously a Software Engineer at Google working on optimizing Android for the Next Billion Users.

I pursued my undergraduate studies at IIT Bombay majoring in Electrical Engineering with a minor in Computer Science. I worked with Prof. Nikhil Karamchandani and Prof. Sharayu Moharir for my master's thesis. I also spent a semester abroad at D-ITET, ETH Zurich. 

Get in touch at [first letter of first name][lastname]@cmu.edu