Professional.

Experience.

Four roles across hardware, ML research, AI agents, and product work, and each one taught me a different way of breaking things.

1. Brunswick Corporation

   May 2025 to May 2026

   Backend Development Intern · Champaign, IL

   Built a CV pipeline, a LangGraph boating agent on Azure, and an Android client for a CES demo to the CEO of a $5B company.

   • Engineered a computer vision pipeline using template matching and AI integration to extract nautical symbols from PDFs. Improved accuracy by 45%+ and saved an estimated $500K+ annually.
   • Built an AI boating agent using LangGraph with tool-calling, deployed to Azure and shown by Brunswick at the Consumer Electronics Show (CES).
   • Developed a full-stack Android app in Kotlin and Jetpack Compose for the agent, integrating LLM API calls and dynamic UI for a CEO-level presentation.
   • Python
   • LangGraph
   • Azure
   • OpenCV
   • Kotlin
   • Jetpack Compose
   • Android Studio

2. OpenMind AI

   Jan 2026 to May 2026

   Software Development Intern · Remote

   Shipped a gamified habit-loop product in Godot plus a React companion site, designed with a Brown psychology researcher.

   • Ideated and developed a gamified approach in Godot to rewire habit loops, working from psychological techniques contributed by a Brown University psychology researcher.
   • Built and deployed a companion React-based website that wraps the OpenAI API with custom system prompts.
   • Godot
   • React
   • OpenAI API
   • TypeScript
   • Tailwind

3. URSA Undergraduate Research

   Jan 2025 to May 2025

   Undergraduate Researcher · Champaign, IL

   Designed deep-learning pipelines that classify vehicles from multimodal IoT data (audio + vibration) using Vision Transformers.

   • Designed a deep-learning pipeline to classify vehicle types from multimodal IoT data (audio + vibration) using spectrograms and Vision Transformers.
   • Built supervised and self-supervised pipelines to improve accuracy on sparse datasets.
   • Achieved 20%+ accuracy improvement and 40% reduction in training epochs through self-supervised pretraining.
   • Python
   • PyTorch
   • TensorFlow
   • NumPy
   • Pandas

4. Disruption Lab

   Jan 2025 to May 2026

   Project Manager · Champaign, IL

   Ran market research and shipped a Next.js MVP plus a custom AI chatbot used in a UIUC / IBKR / Bridgewater trading competition.

   • Conducted market research and client interviews to launch a subscription model for an AI-powered patent search tool. Connected the client with a $20B+ enterprise partner.
   • Developed a Next.js MVP that uses AI to review, compare, and store legal documents, streamlining client workflows.
   • Built a custom AI chatbot (model selection, system prompts, document grounding) and a companion site used in a UIUC, IBKR, and Bridgewater trading competition.
   • Next.js
   • React
   • TypeScript
   • OpenAI API
   • Tailwind
   • MongoDB