Machine Learning Engineer, DCS Corporation, Aberdeen, MD                                             Spring 2019–Present

• Coded object detection/tracking algorithms in conjunction with eye-tracking hardware to analyze 100+ hours of video and inform the design of military technologies.
• Developed real-time state detection algorithms to assess and predict task-relevant behavior based on recorded biosignals and previous behavioral data acquired in a game environment.
• Created behavioral event detection algorithm using audio and video data.
• Developed data processing pipelines to clean, preprocess, and visualize datasets to ensure completeness and facilitate collaborations.

Electrical Engineer, Feinstein Institute, Manhasset, NY                                                      Fall 2017–Spring 2019

• Designed a neuromuscular multichannel stimulator to evoke dexterous hand movements in paralyzed patients in the Neural Bypass and Brain Computer Interface Lab
• Designed wearable motion tracking devices using embedded systems communicating to a Raspberry Pi
• Coded real-time gesture recognition algorithms using machine learning techniques
• Analyzed neural and physiological data signals to inform design of a peripheral nerve stimulator

Graduate Student Researcher, University of Pittsburgh, Pittsburgh, PA                        Fall 2015–Summer 2017

• Conducted pre-clinical experiments to inform the design of a neural interface at the spinal cord on a DARPA funded project in the Rehab and Neural Engineering Lab
• Analyzed behavioral and neural data using a data processing pipeline that involved signal processing, feature extraction, and classification and regression algorithms

Consultant, Fourth River Solutions, Pittsburgh, PA                                                    Spring 2016–Summer 2017

• Performed market research and data collection to advise local start-up companies within the fields of healthcare and medical product design