Justin Le

I’m a recent George Mason University graduate with a Bachelor of Science in Information Technology, concentrated in Health IT, and I’m prepared for technology consulting, business analyst, and implementation roles. I build AI- and data-driven applications with an emphasis on turning messy, real-world needs into systems that actually ship and run.

During my final year, I built and shipped two team-based applications: a full-stack AI marketing and sales forecasting platform for a working restaurant client and a Firebase-backed wellness application with secure authentication and cross-device persistence. I translated informal sponsor pain points into defined product scope and stayed engaged through requirements, demos, and revisions.

On the technical side, I work comfortably across Python, JavaScript, React, and FastAPI—pairing ML fundamentals with practical data pipelines using Pandas and Scikit-Learn. I integrated the OpenAI API to create an on-demand marketing generator, built CSV ingestion/cleaning and forecasting inputs, and implemented Firebase Authentication and Firestore to keep user mood entries and private journaling persistent and secure.

I’m especially motivated by the unstructured parts of projects—when the problem starts vague and the data is messy—and by communicating clearly with non-technical stakeholders about what a model is doing. Beyond building features, I focused on reliability (including debugging a poor-network data-writing issue with a retry layer) and on quality through Agile/sprint-based collaboration, testing, and peer code review.