About
I am a third-year undergraduate at UVM focused on Computational Neuroscience, Mathematics, and Computer Science. I plan to pursue a career in research and obtain a PhD in Computational Neuroscience.
I also explore embedded engineering, server infrastructure, and data science. My primary interest is experimenting with backpropagation alternatives (active inference/predictive coding) and biologically plausible temporal models like CTM.
In my free time, I like to sail, work on my homelab/automation, and document my life through obsessive note-taking and personal data collection.
Work Experience
Ejenta
San Francisco
Software Engineering Intern
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
Summer Volunteer/Assistant Judge
Education
University Of Vermont
Skills
Computer Science
Languages
Primary stack Rust, Python, Lean, Go, and TypeScriptDeep 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 networkPlaceholder
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Quartz
A "digital garden" static site created from my collection of "atomic" obsidian notes, where ideas that link to one another leads to emergent organization similar to how a brain might store information.
D.A.R.S.
A "dormitory automated residential system" that uses a fine tuned LLM(with a TARS from Interstellar inspired personality) with function bindings to control a dorm room.
Include a humor setting.
Chess Framework
A environment for developing, training, and testing chess engines with a library of important chess functions and classes.
Uses Tauri(electron alternative), with a Rust backend and a Svelte frontend.
Includes some chess engines.
HomeLab
6 Old Laptops, a Mini PC, and two Raspberry Pi’s are clustered together under a Hypervisor Proxmox where they share/divide resources for my containerized services; LLM inference/development, CI/CD deployment for my websites, and cloud/database for my microcontrollers.
Personal Data Aggregation Platform
MonoRepo architecture (Git + DVC) aggregating health sensors, location tracking (OwnTracks), computer activity (ActivityWatch), and social media exports. Features InfluxDB timeseries + DuckDB warehouse with Grafana visualization for cross-referencing patterns.
Temporal ML Architecture: Leverages neural synchronization with the Continuous Thought Machines (CTM) architecture for advanced temporal pattern analysis and prediction across multi-modal personal data streams.