Computer Science Student & Software Engineer
Hi! I'm a Computer Science senior at the Milwaukee School of Engineering with over 4 years of industry experience across software engineering, artificial intelligence, and cybersecurity.
My journey with technology started when I got my first computer at age 10. From learning HTML and JavaScript in middle school to developing enterprise applications at Cognex Corporation, I've been passionate about using technology to solve real-world problems.
Currently, I'm working as an AI Engineer at Juno, where I build sophisticated AI agents using LangGraph to accelerate tax preparation processes for CPAs. I'm also actively involved in student organizations as President of Midnight Robotics and Webmaster of AI Club at MSOE.
I'm dedicated to continuous learning and growth, always excited to explore new technologies and take on challenging projects that push the boundaries of what's possible.
Using LangGraph to build sophisticated AI agents that accelerate the tax preparation and tax review processes for CPAs. Adding functionality to analyze and compare previous year's tax returns with current year's return to verify optimal tax strategy is utilized including application of carryover losses and other factors.
Web UI Scrum Team: Drove full-stack feature development by building scalable Angular.js interfaces and integrating them with robust Python backend APIs. Built features that provide powerful customization for customer devices enabling complex code reading and automation workflows.
Testing & CI Scrum Team: Engineered functional and integration tests for product software using Python, C#, and C++ and used testing to verify supported features before product releases. Reduced build wait times by up to 40% through refactoring tests and extending build infrastructure.
Provided systems administration and network support for 150+ staff and managed over 1,000 assets. Assisted in maintaining Geographic Information System services and hardening assets to prevent security incidents. Fulfilled user requests and reduced ticket backlog by 30%.
Senior Capstone project for L&S Electric designing an intelligent control system to automate hydro turbine-generator tuning. Uses machine learning to optimize control settings in real-time for enhanced performance and reliability.
1st Place winner at Innovation Lab Competition. Desktop application using segmentation and regression neural networks to predict container volumes from images with 90% accuracy for Brady Corp.
Award Winner
Data Science Practicum project with Obviate AI developing a novel framework for evaluating LLM agents in legal contract analysis. Created open-source web application for benchmark execution and comparison.
3rd place winner at Innovation Lab Competition. Developed an AI agent application for TruePrep AI that cross-checks tax documents and returns to ensure correct data entry and optimize tax savings. Achieved over 90% accuracy in detecting errors and inefficiencies using mock tax data.
Award Winner
2nd place winner at Hacksgiving Hackathon. Mobile application for Discovery World visitors that senses nearby exhibits using ESP32 Bluetooth beacons. The app leverages LLM agents with vector database access to make exhibits more accessible based on visitor's age, native language, and disability information.
Award Winner
A comprehensive homelab built on a budget, featuring opnSense firewall, TrueNAS Core storage with 24TB capacity, and Proxmox VE virtualization. Includes secure remote access via ZeroTier VPN and Oracle Cloud reverse proxy for public service hosting.
Let's connect! I'm always interested in discussing new professional and educational opportunities.