I was born in Hyderabad, India but I grew up in two quite opposite places (weather-wise); Addis Ababa, Ethiopia (from K.G. to 5th Std) and Ibra, Oman (5th to 10th Std).
I have always loved stories and thought of myself as a storyteller.
After my frivolous attempt at JEE, I joined Vellore Institute of Technology to learn and tell stories about Computer Science and Engineering.
During my Masters at Arizona State University, I realized that rigorously formalized ideas are great stories to tell!
Hence I opted to pursue PhD under Prof. Subbarao Kambhampati. Currently, Large Language Models (LLMs) and Planning are keeping me occupied!
In my free time, I write screenplays, dance, learn photography, play my keyboard and listen to a wide variety of music ranging from heavy metal to carnatic ragas.
Tempe, Arizona, US.
M.S. in Computer Science.
Graduate Research Assistant at Yochan under Prof. Subbarao Kambhampati
Thesis: A Study of Explainable Decision Support for Longitudinal Sequential Decision Making
|Frameworks||HuggingFace Transformers, LoRA PEFT, Flask, Bootstrap, jQuery, D3.js, Pytorch, Tensorflow, Keras, OpenCV, ROS|
|Tools||Git, Docker, Kubernetes, AWS, GCP, Jupyter, Colab, Adobe Photoshop, Adobe Premiere Pro, Adobe Lightroom, Blender, Gazebo, Unreal Engine|
Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
NeurIPS 2023 (Benchmark Track)
Karthik Valmeekam, Matthew Marquez, Subbarao Kambhampati
Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
Karthik Valmeekam, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati
ICAPS 2022; AAAI 2021 Demos
Karthik Valmeekam, Dheeraj Nair, J Anuradha
Procedia Computer Science, 2018
*Get the engine started.*