• Maintained, improved, and analyzed a big data system for historical market data, consisting of Python, Scala, and PySpark programs, Impala databases, Oozie workflows, and Bash scripts.• Designed and developed a python application for extracting, transforming, and loading trade data into a data lake. • Administrated, maintained, and created tableau dashboards.

• Initiated Doxygen documentation for the existing C++, Fortran, and CUDA code in the Amber molecular dynamics software suite• Initiated unit testing of the existing code in Amber• Programmed new C++ CUDA routines for advanced sampling methods over GPUs in Amber

• Developed dynamic network model for protein atomic motions using Tensorflow and Python• Created Python library for analyzing protein behavior with hybrid deep learning-probabilistic model in PyTorch• Engineered parallel C++-Python library for extracting patterns in dynamic networks with pybind11 and OpenMP• Identified correlations in random time series data using Fourier analysis• Independently led and executed diverse projects• Documented C++ and Python libraries with Doxygen, Sphinx, and LaTeX• Implemented unit and integration tests using GoogleTest and pytest• Managed software revisions with git, GitHub, and GitLab• Submitted 4 JCTC journal articles (impact factor 6.0), serving as co-corresponding author• Presented at 3 national annual meetings and 1 regional meeting to audiences of 30-50 participants.