Amritansh

About Amritansh

A core AI researcher dwelling into the question of Artificial General Intelligence(AGI) and how intelligence could be achieved through simple processes. Experienced in Python stack for ML and DL - Python, SciKit learn, Tensorflow+Keras, Pytorch, numpy and matplotlib visualizations. Over 9 years of experience in Python development and last 6 years have been actively spent in writing quality code for Deep Learning, CART models, Random Forest, Adversarial networks, NLU and NLP applications and Bio-inspired Spiking Neural Networks.A critical thinker and problem solver at the heart.

Experience

1. Founder & Researcher

   Neurodynamic Ai

   Jun 2018 — Present · Bengaluru, IN

   Working on few research tracks such Deep Symbolic learning, Bayesian Reinforcement learning, Adaptive resonance theory, Robotics manipulation & self-assembly, and spiking neural models. The design of AI in order to exhibit Human-level intelligence through machines. We are taking engineering approach in building computational intelligence and ways in which strong AI could possibly be achieved, with insights from deep learning, reinforcement learning, computational neuroscience, robotics, cognitive modeling, psychology, and many more.Few Research tracks actively pursued by our team: Deep Symbolic Reinforcement learning Bayesian Reinforcement learning Robotics manipulation & self-assembly Swarm Robotics Spiking Neural Networks Adaptive Resonance Theory

Education

• The University of New Mexico

  Master of Science (M.S.), Computer Science

  2015 — 2016

• University of Mumbai

  Bachelor of Engineering (B.E.), Computer Engineering

  2009 — 2013