About

I am a second-year undergraduate at the University of Vermont, with a passion for Computer Science, Mathematics, and Computational Neuroscience. I also like to dip my toes into embedded engineering, server infrastructure, and data science.

In my free time, I like to sail in the Bay Area, work with robotics, and document my life through obsessive note-taking.

Work Experience

Ejenta
San Francisco

May 2025 - August 2025

Software Engineering Intern

A company that leverages machine learning to analyze patient-generated health data and deliver clinically actionable recommendations, with a focus on spaceflight and remote care applications.

My work consisted of prototyping LLM agents to work with these existsing systems, and building a data pipeline to collect and analyze user interactions with these agents.

URC 2024
Utah

2024 - 2024

Summer Volunteer/Assistant Judge

Mars Rover Competition aimed at college students. More on my Quartz Garden.

Education

University Of Vermont

2023 -
B.S. in Computer Science

Skills

Computer Science

Languages

Primary stack Rust, Python, Go, and modern C/C++ for systems, backends, and performance-critical work.

Deep Learning & LLMs

PyTorch Fine-tuning llms, standard data modelling, and work with backpropagation alternative neural networks.

Systems & DevOps

Linux / Containers Linux, Docker, Kubernetes, NixOS, and Proxmox for self-hosted services and CI/CD. Vim is my main editor 🤓

Embedded & Edge

ESP32 / Raspberry Pi IoT prototypes, sensor integration, and robotics-adjacent projects for home automation.

Computational Neuroscience

Dynamical Systems Modeling

HH / FHN Primarily Hodgkin-Huxley moddeling work, but also some phase-plane analysis.

Neural Time‑Series & Signal Processing

Spikes / EEG Filtering, spectral analysis, spike-train statistics, GLMs for neural data.

Single-Neuron Modeling

CNNs/RNNs (Attempting to) model the complexity of dendritic Ion Channels with a multilayer network

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