3DCowboys educates through entertainment. With the help of Spot, Boston Dynamic's robot pooch, we teach kids and adults about robotics and programming using some of the world's most cutting edge robotics and machine learning.

• Research and development of machine learning solutions for legal tech.• Extensive experience with data analysis, processing, and augmentation of complicated textual data.• Development of models for information extraction, text generation, clustering, and computer vision.• Strong experience with cutting edge Neural Networks architectures including Transformers, Large Language Models (open source and api-based), Generative Modeling, and prompt engineering.

• Numerical Modeling of fluid systems as part of the Tufts Soft Matter Theory Research Group.• Developed analysis package in Python to function with soft particle simulation in C.• Developed Non-equilibrium Monte Carlo Model to simulate fluid systems.• Built semi-analytical model to simulate crystallization of emulsions.• Designed semi- analytical model incorporating the Young-Laplace equation to predict adhesion of gel microspheres.• Experience using gradient decent, projected gradient method, newton method, Runge Kutta, and other minimization methods and differential equation solvers.

• Led research for grant project titled “More Humane APS Meetings through Machine Learning” to build Machine Learning (ML) and Natural Language Processing (NLP) tools for conference organizers.• Built website which suggests convention talks using LSA and TFIDF natural language processing methods.• Developed method to identify conflicting similar talks in conference schedules by comparing abstracts.• Constructed Monte Carlo method to reorganize conference schedules to minimize overlap of similar talks.• Experience training and validating the BERT classifier for multilabel classification.

The Listening Project (LP) is a professional development community of Tufts faculty members and graduate students with teaching responsibilities in the natural sciences and mathematics. The goal of the project is to "substantially and sustainably increase their capacity for inclusion of all students, especially those students who belong to groups underrepresented in science." The LP is designed to support instructors in welcoming students to the learning process by eliciting and engaging with students' thinking. It is based on the premise that all students can exhibit productive beginnings of meaningful disciplinary thinking, and that it is our responsibility as instructors to create an environment in which students are equitably supported in developing as disciplinary thinkers.

• Taught semester long physics lab courses. Guided students through the scientific method and graded the resulting lab reports. Some semesters instead of lab reports I used an 'interview' process where I had an in-depth conversation with each lab group to gauge their understanding of the physics principles used in the lab.• I also taught recitation sections which were supplementary time in addition to the standard lectures where I helped students through issues they were having in the main course. The focus of these recitation courses was mechanics, electricity, and magnetism. This was great teaching experience as I was required to cater to both those familiar with calculus and those who were not.

• Designed, programmed and built robots using rapid prototyping to facilitate laboratory needs.• Developed streamlined methods for cataloging laboratory information using available equipment with no overhead.

The Academic Opportunity Program (AOP) is a Union College funded program designed to support students from first-generation, low-income backgrounds through academic counseling and financial aid. I had the opportunity to participate as a math and physics tutor helping students with all levels of college math (basic arithmetic through vector calculus) and physics (non-calculus mechanics, electricity, and magnetism).

• Research on Coffee & Calorimetry as part of the Amanuel Experimental Group.• Measured the heat of combustion of dried and undried raw coffee beans to determine the role of water in the energy required to roast coffee.• Parr Isoperibol Bomb Calorimeter calibration.

• Research on heavy metal formation in supernovae as part of the Surman Theory Group.• Executed nuclear-network code to model r-process under different astrophysical trajectories.• Developed a suite of plotting algorithms in python to handle Fortran output.

Helped teach adults basic math skills in a 1-1 setting in preparation for taking the GED.

• Gained experience cutting microtome samples, setting slides, and testing bioluminescence.• Handled lab animals under clean conditions.