About Me
Hi, I'm Luke Daniel, a graduate student pursuing degrees in Business Analytics & Artificial Intelligence at Stevens Institute of Technology and Sports Technologies & Digital Transformation at Real Madrid Graduate School, Universidad Europea. I also work as a Software Engineer at VectorScribe, LLC. I earned my bachelor's degree in Data Science and Computer Science from the University of Pittsburgh.
My work sits at the intersection of software, data, and applied AI. At VectorScribe, I build full-stack Python control software for laser holographic microprinting, improving everything from image-processing and hardware-control routines to user interfaces and deployment. Whether I'm analyzing sports data, building AI-powered tools, or designing intuitive interfaces, I enjoy turning complex systems into useful, accessible experiences.
I’m pursuing opportunities in data analytics and engineering, with a particular interest in the sports industry.
Education
Stevens Institute of Technology
Hoboken, NJReal Madrid Graduate School, Universidad Europea
Madrid, SpainUniversity of Pittsburgh
Pittsburgh, PAMagna Cum Laude | GPA: 3.75/4.00
Experience
VectorScribe, LLC
Bethlehem, PA- Engineering full-stack Python software for a laser holographic microprinter, consolidating legacy codebases into one platform supporting multiple printer generations.
- Designing a custom Python user interface for configuring print patterns and hardware parameters.
- Substantially reduced print execution time by refactoring image processing and hardware control routines.
- Established the company GitHub organization and lab deployment pipelines to streamline collaboration.
NeuroTechR3
Newark, NJProjects
Logr – Social Book Tracking iOS App
- Developing a native SwiftUI iOS app for discovering books, tracking reading progress, writing reviews, creating custom lists, and following authors and other readers.
- Building a Python/FastAPI backend integrating book data from public APIs, with PostgreSQL for storing and managing book and user data and SwiftData for offline library storage, local caching, and synchronization.
NJ Startup Signals
Hoboken, NJ- Integrated multiple government grant and patent data sources into a unified Supabase database.
- Built API and ingestion pipelines powering statewide startup evaluation, sector rankings, and ecosystem analysis.
Air Quality Dashboard
Pittsburgh, PA- Built a dashboard using Looker Studio mapping steel facilities across Western Pennsylvania to visualize and analyze air-quality violations and associated fines.
- Collaborated with nonprofit stakeholders to gather requirements and refine dashboard content.
Movie Recommendation Application
Pittsburgh, PA- Developed a full-stack application supporting a movie recommendation system, integrating a natural-language interface, the OpenAI API, and PostgreSQL to manage user profiles and preferences.
- Built a pipeline that translated user requests into SQL and database query results into natural-language responses, enabling preference updates and recommendation retrieval.
Skills
- Python
- SQL
- Swift
- SwiftUI
- FastAPI
- Git/GitHub
- R
- Java
- PostgreSQL
- Supabase
- SwiftData
- pandas
- Looker Studio