I am currently working as a Visiting Research Scholar under Dr. Judea Pearl researching Autonomous Agents and Learning Systems.
Prior to that, I worked with various startups across U.S., U.K. and India in business intelligence roles for dev teams to better understand user behavior, growth and engagement. My academic background is in Mathematics, Statistics and Computer Science.
My primary interests are in MultiAgent Systems, AutoML, Procedural Content Generation and Reinforcement Learning. I am concurrently also building interests in Networks, Graphs and Sequential Learning.
I am, foremost, driven by the goal to design personalized large-scale systems to replicate three key behavioral aspects of human decision making - Activities, Goals and Interactions- AGI.
I have been teaching machine learning for around 2.5 years for several organizations including MLNerdie, WWCode etc. in an effort to give back to the community.
- I was a Committee Co-Chair for PyData Los Angeles 2018 where I presented a talk on Big Problems at the Heart of Machine Learning and a tutorial on
A Hands-On Application of Causal Methods in Python
I have decided to take an indefinite period hiatus from public speaking at events and conferences.