Hello I'm
Valmeekam Karthik
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For a tour into my world
I am a
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 the best stories to tell!
Hence I opted to pursue PhD under Prof. Subbarao Kambhampati. My research interests lie in the area of Human in the loop AI and Reinforcement Learning.
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.
Passing through the Academic Jungle
2021 - Present.
Arizona State University.
Tempe, Arizona, US.
PhD in Computer Science.
GPA* 4.0/4.0
Graduate Research Assistant at Yochan under
Prof. Subbarao Kambhampati
2019-2021.
Arizona State University.
Tempe, Arizona, US.
Masters of Science in Computer Science.
GPA 4.0/4.0
Graduate Research Assistant at Yochan under Prof. Subbarao Kambhampati
Thesis: A Study of Explainable Decision Support for Longitudinal Sequential Decision Making
2015-2019.
Vellore Institute Of Technology.
Vellore, Tamilnadu, India.
B.Tech. Computer Science and Engineering.
GPA 9.19/10.0
Research Aide under Prof. Anuradha J
Vice-Chair Management of Codechef-VIT
2013-2015.
Narayana Junior College.
Hyderabad, Telangana, India.
Intermediate (11th & 12th Std).
Percentage: 95.1%
2007-2013.
Indian School Ibra.
Ibra, Oman.
10th Std.
GPA 9.8/10.0
Computer Whizkid
Best Dancer
Learning - A continuous process
Web Technologies - Front End.
"Presentation is Key."
- HTML
- CSS
- Javascript
- jQuery
- Bootstrap
- D3.js
Python.
*Hisses at Semicolon..*
- Flask
- Tensorflow
- Pytorch
- Tkinter
- Open AI Gym
Execution - That's how dreams become reality
Projects
"Get the engine started."
- Reinforcement Learning for Sequence: An Imperfect Information Board Game
- High Speed Autonomous Drifting using Deep Reinforcement Learning
- Implementation and Evaluation of Nash Q Learning
- Parsing and Writing AI Planning models (represented in PDDL)
- VAST 2019 Mini Challenge 1 - Data Visualization
- Paws in Space - Data Visualization
- How to Open in Chess? - Data Visualization
Publications. 
*Formalizing Curiosity*
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
- Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change)
- RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions.
- Opinion Mining on Emojis using Deep Learning Techniques