- Led development of Data Anonymization components for a unique PoC of an upcoming AI-based product family.- Led development of a system to automate dynamic invoice generation from a deployed unix subsystem to a CRM. Reported weekly to leadership and collaborated with development teams.- Initiated and created a multi-level C4 model documenting our entire architecture using IcePanel.com. This fostered clarity and collaboration between all company teams.

- Handpicked for an interdisciplinary AI research team providing direct analytical support to the Federal Bureau of Investigation.- 40-minute presentation and an hour of Q&A with the heads of the Richmond field office.

- Actively contributed to open-source software as an intern, collaborating within a small development team focused on Progressive Web App technology.- Selected and resolved issues to meet project milestones and deliverables, demonstrating self-management skills.- Led the successful implementation of a major text-on-image feature in response to client needs and feedback.- Participated in daily meetings, honing communication skills by reporting on assigned tasks to lead developer.- Assisted lead developer in communication with program manager for UI decisions and requirements clarification.

- Collaborated with the CEO to design statistical analysis algorithms built atop ML models and computer vision to analyze intersections as hidden Markov models.- Implemented our solutions in Python, utilizing libraries such as NumPy to process hierarchical-data-format multidimensional arrays of scientific data (.h5 files).- Documented my code and results in Jupyter notebooks, producing valuable deliverables for our tech lead.

- Trained Human-in-the-Loop machine learning models, analyzing a large dataset to support research initiatives.- Researched data on political campaigns and compiled the results into deliverables for my superiors.