Assisted in the development of an ML sleep stage classifier based on aDBS-collected brain signals known as chronic LFPsDeveloped an advanced data management infrastructure to collect, analyze, and store multimodal physiological dataLed a translation project to convert pre-existing MATLAB code into a multiplatform Python application used by clinicians around the country.

Led multiple software engineering projects including automation projects, Integration projects, custom application development, and machine learning/AI projects

Created robotic processes to automate and speed up workflows for clients.Modified existing software to correct errors, adapt to new hardware or upgrade interfaces.Collaborated with a team of RPA developers to create affordable solutions for client.

Conducted research to interpret the effect of neuromodulation on interoceptive functions by using various machine and deep learning methods to analyze brain BOLD signals present within 4-dimensional time dependent fMRI brain scans. Used machine learning methods such as linear and non-linear SVM's to optimize reverse inference on 4-dimensional brain pattern recognition frameworks in relation to visual, motor, and interoceptive functions Learned to quantify brain signals as a function of 4-dimensional space-time using advanced computational methods such as SVM's, Neural networks, and causal modeling (hidden Makarov chains)Worked with a team of MD and PhD students to compile results and develop a working manuscript credited with 2nd author on soon to be published research paper

Used automation scripts (python) to retrieve client data from one source HCM system and transfer the data to another destination HCM system.Worked with clients and project managers to create feasible and affordable solutionsConsulted with customers and other departments on project status, proposals and technical issues, such as software system design and maintenance.