• Delivered phase I SBIR contract for autonomous robotic radiation surveying. This utilized a graph transformer model and reinforcement learning to enable LAMP system navigation and source seeking in unknown environments

• Led full-stack development of detector API, from low-level C++ readout firmware to React-based operator interface

• Led design and launch of nuclear power plant data management platform, automating compliance reporting workflows

• Architected ROS-based sensor package that integrates data from multiple dosimeter types, enhancing LAMP system's radiation measurement accuracy and expanding addressable market segments

• Serve as technical lead for flagship commercial product, debugging production issues, and implementing 10 critical feature enhancements

• Engineered automated calibration tool for detector systems that reduced pre-shipment QA time by 5 hrs/system ensuring measurement accuracy across deployed units

• Thesis: Proximal Policy Optimization for Radiation Source Search

• First author on paper, in collaboration with another research university

• Constructed novel deep reinforcement learning architecture in Python / Pytorch that achieved a success rate of 95% in a complex nuclear source search task outperforming gradient search by 68%

• Built OpenAI Gym radiation simulation environment that used a visibility graph for shortest path calculation with polygonal obstructions

• Implemented information-theoretic control algorithm from the literature that utilized a Bayesian particle filter for the radiation source search comparison.

• Mentored 3 NSF-funded undergraduate students on computational modeling research projects and ran lab meetings for 15 students

• Presented research results and project progress at 2 annual reviews for funding agency

• Collected and analyzed data gathered from radio-frequency sensor mesh networks

• Added parsing functionality to MotioSens system in MATLAB to improve data readout capabilities

• Designed instrument life cycle test protocol in MATLAB for main operational unit that revealed mechanical design flaw resulting in component redesign that increased instrument lifespan by 9%

• Soldered and tested printed circuit boards used in the robot control system

• Created data cleaning script in Python using Pandas to remove duplicates and flag feature input errors, used in an exploratory data analysis to assess efficacy of potential company asset

• Presented investigative report of company asset performance to management leading to integration of asset into product pipeline

• Proposed 2 novel data sources for use in the predictive modeling