I am an experienced deep learning engineer with skills in machine learning/deep learning, cloud computing, computational fluid dynamics, and high performance computing. My technical skills are: Prog. Languages: Python, C/C++, Java, Bash, Matlab, Fortran Deep Learning toolkits: PyTorch, TensorFlow, Keras Developer tools: Git, VS Code, Eclipse Parallel/Distributed computing: Spark, MPI, SIMD, Horovod Editor Tools: Vim, Sublime Libraries: NumPy, pandas, Scipy, Matplotlib Others: AWS, Databricks,IBM Watson, Google Colab, Jupyter Notebook, LaTeX My research interests are : Deep learning for scientific application Data science/ Data analytics for healthcare Non-linear Optimization Some of the courses I have taken: Machine Learning - CMU 10601 Deep Learning - CMU 11785 Machine Learning with Large Datasets - CMU 10605 Optimization Methods (ME 2671) Parallel Computing For Engineers (ME 2054) Data Structures (INFSCI 2500) Linear and Complex Analysis (ME 2002) Reduced-Order Modeling for Engineers (ME 2061) Numerical Method in Scientific Computing 1 (MATH 2070) Advanced Fluid Mechanics I and II ME 2074-2075 My hobbies : I am an amateur mixed martial artist and I train in the art of boxing, Thai Boxing, and Jiu-Jitsu. I also practiced Taekwondo during my high school years ( I was a red belt). I love science and enjoy practicing martial arts.