I'm a research scientist turned software engineer who loves solving complex problems using machine learning, deep learning, AI, data science, and related tools. I have experience with deep learning (multi-layered neural network models) including convolutional (CNN) and recurrent neural networks (RNN). My research expertise is in the field of drug discovery where I leverage both my drug discovery and computational skills to discover potential therapies. Python Programming is my strongest language skill (NumPy, Pandas, PyTorch), but I also have experience with C++ and SQL. English is my native language, and I firmly believe in taking a professional approach to every project. Establishing a solid understanding with you before the start of a project and maintaining regular communication is a core part of my routine. The combination of the two significantly contributes to achieving expected results in projects. I received my Ph.D. from MIT, and quantitative analysis is a core part of my academic and professional experience; I look forward to working with you on future projects.