Christopher Gomez Email & Phone Number

Boston, MA, US

Legislaide is a legislative AI research and drafting tool for local government staff. Our platform empowers local governments to bridge their skill and labor gaps, optimize workflows, and make data-driven, day-to-day decisions.CivStart '23, TechStars '23, Access Mode Cohort 2, eMerge Americas '24

Lexington, Massachusetts, United States

• Designed engaging and informative PowerPoint presentations to demystify AI/ML concepts, highlighting their strategic implications and the latest industry breakthroughs for senior division leadership.
• Generated memory footprint visualizations for CNNs to simplify complex topics for presentations.
• Simulated on-device ML training of convolutional neural networks (CNNs) to compare model reduction techniques and analyze their performance impacts.
• Experimented on the generative limitations of the MIT Han Lab’s TinyEngine code generator system

• Graph Metamodeling for Factory Production Simulation
• Created Python code to generate and simulate synchronized queueing network (SQN) graphs, modeling factory production lines with a Generalized Semi-Markov Process (GSMP) formalization framework.
• Utilized sample graph structures as inputs and corresponding SQN simulation outputs for graph neural network meta-modelling (GrNMM) software to generate point estimates and i.i.d. samples.Verified result accuracy and.
• Verified result accuracy and reliability via rigorous analytical solutions, point estimates, and confidence intervals.

• Facilitated community development and oversaw student learning initiatives for 300+ students.
• Directly ensured the safety of and fostered a sense of community in 45 students by consistently demonstrating ethical behavior and serving as both a role model and guide.
• Created engaging bi-monthly events to increase community participation

Remote

• Developed project roadmaps to seamlessly integrate ML into the existing software architecture.
• Frequently took on a leadership role within the Agile/Scrum team, overseeing the aggregation and annotation of spatial data from diverse sources across various company sectors using a jointly developed.NET script.
• Implemented support vector machine and neural network classifiers on extensive geospatial data, employing Pandas for efficient data pre-processing.
• Conducted thorough data analysis, leveraging NumPy, Pandas, and Seaborn to generate insightful visualizations.

Amherst, MA

• Managed a team of 12 organizers, creating community-building events for 400+ students

Masters, Computer Science, 4.0

Activities and Societies: Bay State FellowshipData Science/Machine Learning Concentration

Bachelor'S Degree, Computer Science, 3.73

Activities and Societies: Commonwealth Honors College Neu Rho Psi Honors Society

Bachelor'S Degree, Neuroscience, 3.73

Activities and Societies: Commonwealth Honors College Neu Rho Psi Honors Society