Hey there, I'm Eli.

This is an exploratory project to get familiar with CrewAI, an orchestration framework for agentic AI. It is built in pure python with a Streamlit frontend. Investing should be accessible to everyone, so the idea is to provide a free, intelligent stock analysis platform powered by a team of AI agents specializing in different aspects of market analysis.

The fantasy sports market size is expected to eclipse $100 billion by 2033. My friends and I love fantasy football, but I was disappointed with the lack of depth regarding historical performance and advanced stats. So, I decided to build my own. Meet League Pulse, a modern, feature-rich web application that creates a personalized website for your Sleeper fantasy football league. Built on top of the Sleeper API, this responsive web app showcases beautiful visualizations and rich history that takes fantasy football to the next level.

Through the Raikes School Design Studio @ the University of Nebraska-Lincoln, our team of 5 partnered with the First National Bank of Omaha (FNBO) Innovation & Disruption team to deliver a working product that could save thousands of their customers from the horrors of financial fraud. As a result, our team was identified by an independent committee as the platinum award winners (1st/20 teams) based on business value & team dynamics.

A simple, elegant voting system for a fictitous town. This was good practice using the Microsoft Identity library for authentication. Users can login, cast a vote, and view the results after the election is complete.

MyRED is the place where students can manage their college life. Course registration, meal plans, housing, scholarships, degree audits, you name it. Unfortunately, the current interface is dated and not designed well for students. My ground up redesign addresses this, transforming the MyRed portal into a modern, intuitive app for students to find what they need. Check out the Figma prototype below!

This was a project I did @ the University of Nebraska-Lincoln in Math 435. The fantasy sports space is expected to become a nearly $100B industry by 2032. This project aims to help people make data-driven decisions to win bragging rights over their friends and family. The final deliverable is a deep learning sequence-to-regression model that predicts quarterback game-level statistics using historical play-by-play data. The model maps sequences of historical plays to continuous game-level statistical predictions using a transformer-based architecture.