I have been working in Reinforcement learning, control optimization-based techniques and multi-agent systems. In addition to this, I work in the real world deployment of AI-based models for automated control decision processes using both RL and evolutionary strategies in cases where human intervention would otherwise be difficult.
I have also been working as an AI Ambassador at Intel Corporation, a classroom mentor for the Deep Reinforcement Learning nanodegree at Udacity and a tech blogger at Medium in Analytics Vidhya.
Have worked in ML and Research as Applied Scientists for more than 4 years with good track record of ML papers in reputed conferences. Expertise in model development to deployment lifecycle My Interests are:
Machine Learning, Reinforcement Learning, Knowledge Graphs, Natural Language Processing and Computer Vision
Here is a bit about my interests and how to get in touch:
- š¬ I am learning about Model deployment and integration cycles.
- š± Iām currently working on Multi-agent Reinforcement Learning, Dialog systems and Optimization based problems.
- š¬ Ask me about NLP, Deep Neural Networks, GAN, Probabilistic Models and let's Collaborate to knock new ideas to code.
- š« How to reach me: [email protected]
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