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Vishank Bhatia

Deep Learning Engineer

Vishank Bhatia is a seasoned professional with expertise in Reinforcement Learning, Deep Learning, and Machine Learning.

In the domain of Reinforcement Learning, Vishank has extensive experience in areas such as multi-armed bandits, finite markov decision processes, dynamic programming, monte carlo methods, temporal difference learning, n-step bootstrapping, and function approximation.

Furthermore, he has worked on Deep Learning projects involving convolutional neural networks, generative adversarial networks, and residual networks.

Vishank's proficiency in Machine Learning encompasses various techniques including linear regression, logistic regression, decision trees, perceptron, support vector machine, gradient descent, boosting, principal component analysis, singular value decomposition, maximum likelihood estimation, bayesian inference, clustering, k-means, expectation maximization, kernel methods, and neural networks.

His programming skills include languages such as Python, Java, C++, R, and SQL, and he is well-versed in frameworks like Tensorflow, PyTorch, and Keras.

Vishank Bhatia pursued his Master of Science in Computer Science from The University of Texas at Austin, and another Master of Science degree from University of California, Los Angeles. He completed his Bachelor of Engineering at Birla Institute Of Technology and Science, Pilani Dubai, following a High School Diploma from Delhi Public School, Vasant Kunj.

Throughout his career, Vishank has held roles such as Deep Learning Engineer at KLA, Robotics at The Hi-Tech Robotic Systemz Ltd, Engineering at Siemens, Research at Indian Institute of Technology, Delhi, and Engineering at Petrofac.

Vishank Bhatia
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Location

Milpitas, California, United States