Kaushik Balakrishnan

Kaushik Balakrishnan is a seasoned Research Scientist with over a decade of experience specializing in massively-parallel numerical simulations in the realms of Machine Learning, Deep Learning, Artificial Intelligence, Reinforcement Learning, High Performance Computing (HPC), and Monte Carlo methods.

He holds expertise in various areas including computer programming languages like C, C++, Python, and a wide range of packages such as TensorFlow, PyTorch, Caffe, OpenCV, R, MATLAB, and Octave.

With a focus on high-performance computing, Kaushik is adept in utilizing tools like MPI and GPU (CUDA) for efficient computation.

His proficiency in Machine Learning extends to Deep Neural Networks, Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), Variational AutoEncoders (VAE), Principal Component Analysis (PCA), Naive Bayes, Expectation Maximization, and Gibbs sampling.

Kaushik's experience in GPU (CUDA) computing includes diverse applications like Hydrogen-Oxygen flame simulations, Reaction-Diffusion simulations, real-time visualization with OpenGL, and Reduced Basis Modeling (RBM) using POD-DEIM techniques.

He has a strong presence on GitHub with a repository available at https://github.com/kaushikb258.

Kaushik's educational background encompasses a Energy Innovation and Emerging Technologies Certificate from Stanford University, a PhD in Aerospace Engineering with a focus on Graduate Research Assistance at Georgia Institute of Technology, a Master of Science (MS) degree in Aerospace Engineering, and a B.Tech. in Aerospace Engineering from Indian Institute of Technology, Madras. Additionally, he completed the Deep Reinforcement Learning Nanodegree in Artificial Intelligence from Udacity.

Throughout his career, Kaushik has held key roles at esteemed organizations, including his current position as a Machine Learning Research Scientist at Ford Motor Company. Previously, he served as a Machine Learning Engineer specializing in Reinforcement Learning and Artificial Intelligence at BMW Group, an Autonomous Vehicles Research Scientist at Ford Motor Company, a Research Scientist at HyPerComp, Inc., a Computational Scientist at NASA Jet Propulsion Laboratory, and a Postdoctoral Fellow in the Computational Research Division at Lawrence Berkeley National Laboratory.