Data Engineer II [Current]
Supporting medical researchers by designing, implementing, and executing large-scale complex ETL pipelines and feature engineering in SQL and Python.
Owning multiple internal reporting dashboards with a focus on accessibility, maintainability, and reusability to help administrators make big-picture financial analysis and decisions.

Personal Trainer [Current]
Helping clients reach their goals through careful, intense exercise and diet planning. Responsible for finding my own clients, bringing new business to the gym, designing nutrition and fitness programs, and retaining clients.

Software Developer
Designing, developing, and implementing performance and usability improvements and novel features in a multi-system application. This involves pulling user interaction data and generating dynamic data visualization reports.
Experience in problem documentation, solution documentation, thorough unit testing, usability analysis, QA testing, and full-stack development.

Assistant Data Specialist [May 2021 -> May 2023]
Designed, developed, and implemented machine learning solutions to problems in Natural Language Processing and Generation, Bioaccoustic analysis, and Computer Vision spaces.
Experience in team leadership, product ownership, and development life-cycle, AWS environment management, Python, Full-Stack Progressive Web App development

Director of Development [Jan 2021 -> Apr 2022]
Took client tasks from proposals to products, managed a team of developers on tight deadlines and requirements, and developed best-practice guidelines based on federal medical mandates and AGILE methodologies.
Experience in team leadership, product ownership, and development life-cycle, AWS environment management, Python, Software Ethics

Personal Training Certification
Certification for personal training from the National Academy of Sports Medicine. Actively working on specializing in strength training, corrective exercise, and metabolism.

Masters of Science in Computer Science 2023
Researching state-of-the-art anomaly detection algorithms for knowledge graph analysis. Designing, developing, and testing novel architectures for autoregressive flow networks with contrastive flow and log-likelihood ratio loss functions, one-class classification on ensemble feature extractors, and probabilistic generative adversarial networks.
Research Advisor

Bachelor of Science in Computer Science and Cognitive Science 2022
Are modern AI moral agents? Are they moral patients? How do they compare to accepted definitions of moral agency and moral patiency? My thesis tackled these questions by exploring various fields of ethics and analyzing their definitions and expectations to develop guidelines for what modern AI needs to have to be deserving of direct moral obligations.
Cum Laude

Undergraduate Thesis, Ethics of AI, Metaphysics and Consciousness, Cognition and the Brain, Research Methods and Statistics, Cognitive Psychology, Introduction to Linguistics, Introduction to Logic, Introduction to Cognitive Science

Undergraduate Thesis

Projects for ML & AI, AI & Blockchain, Computational Finance, Introduction to AI, Large Scale Programming & Testing, Software Design & Documentation, Programming Languages, Machine Learning from Data, Machine Learning & Optimization, Programming for Cognitive Science & AI, Operating Systems, Principles of Software, Introduction to Algorithms, Computer Organization, Foundations of Computer Science, Data Structures

Github Repositories

Machine Learning and Optimization
Lead office hours, graded assignments, verified lecture proofs, and gave addendum lectures for a graduate-level machine learning theory course.
Computer Science Tutoring

Machine Common Sense
Developed and implemented a data ETL pipeline to load, process, and format natural-language, real-world product descriptions to interface with a spatial-reasoning knowledge graph. Involved designing and developing a custom graph-based grammar to process text into relative sizing bins. The goal of this project was to develop a directional attributed knowledge graph to train a common sense model on size-based spatial-reasoning goals.
Tetherless World Constellation

Critical CS
Researched modern problems in software ethics and lead a team in designing and developing assignments to challenge students in solving these problems. Solutions were then challenged in class, requiring students to defend and analyze their solutions in an ethical framework. The goal of this project was to create a computer science pedagogy that focuses on software ethics.
Critical CS

Computer Science I, Data Structures
Mentored Computer Science I and Data Structures students, lead software labs and office hours, helped review and design assignments, and graded exams.
Computer Science Tutoring