Experiences

  • Summer 2025

    NetThunder

    Fullstack Intern

    • Developed and locally deployed a large language model interface for NetThunder's private cloud, enabling secure, on-premises AI applications
    • Implemented a custom in-house API for the LLM interface, allowing for intranet use and enhanced user experience
    • Collaborated with cross-functional teams to ensure the LLM interface met performance and security standards

  • 2025

    Epoch AI

    President

    • President of IMSA's AI Club
    • Setup and managed an AI supercomputer
    • Lead a cluster team of 10 students to maintain and optimize the EPOCH supercomputer, ensuring high availability and performance for research projects
    • Collaborated with faculty and administration to integrate AI technologies into the curriculum, enhancing educational opportunities for students
    • Now serving as alumni advisor

  • Summer 2024

    NetThunder

    SWE Intern

    • Led the migration of four critical APIs from Python to Rust, improving reliability by 50% and reducing latency for high-performance private cloud deployments
    • Designed and implemented scalable, self-healing infrastructure to support NetThunder's automated, on-premises private cloud solutions, enabling seamless application deployment and management
    • Optimized API workflows to support secure, automated compliance features (including CMMC and NIST 800-171), expanding NetThunder's reach in regulated industries

  • 2024

    UChicago

    Student Researcher

    • Created a state-of-the-art binary neural network using Larq and TensorFlow, decreased architecture size by 40% while improving accuracy by 10%
    • Coauthored research paper on Linear Feedback Shift Registers (LFSRs) for Neural Network Compression and Storage.

  • Summer 2023

    APS Data Technologies

    Backend Developer Intern

    • Designed and implemented machine learning projects in Python, utilizing TensorFlow and PyTorch for diverse clients, including an AI-driven Parking App that incorporated car detectors and license plate recognition
    • Leading a team of ML engineers with a 33% increase of code output compared to other teams
    • Youngest Project Lead in company history at age 16