AI Engineer & Researcher

I build end-to-end AI systems covering data pipelines, APIs, fine-tuning LLMs, and system deployment. I have research experience in neural network architecture design and LLM optimization for local inference.

After graduating this spring with a double major in CS:AI and Philosophy, I'm working full time in a 1 year Post-Bacc role at the Davis Institute for Artificial Intelligence.

Languages

Proficient: Python, C, SQL, HTML/CSS

Familiar: Bash, Java, C#, JS

AI/ML

TensorFlow, PyTorch, scikit-learn, vLLM, LiteLLM, Ollama, Hugging Face, DCNNs, RNNs, RAG, fine-tuning

Dev Tools

Git/GitHub, Docker, tmux, FastAPI, PostgreSQL, Claude Code, Hermes

Fun fact: I regularly program on macOS, Windows 11, and Linux (Fedora 44/Ubuntu/WSL). Thank goodness for containers and dotfiles.

Professional Experience

Hired as a CS teaching assistant after my first semester in college, I've since held research and engineering roles continuously: from two years of computational neuroscience research in the OWLab to independent LLM-based research at the Davis Institute, where I'm currently a fellow.

Davis Institute for AI 5th Year Fellow

Deployed open-source LLMs on local hardware for chatbot and agentic use cases, and migrated existing cloud-API tools to on-campus infrastructure, reducing API costs and eliminating third-party data exposure.
Designed and shipped internal projects (Python/FastAPI, SvelteKit, PostgreSQL, Docker) deployed on Colby's network, while tracking current AI research to inform the Institute's technical direction.
Co-developed AI curriculum and delivered 1-on-1 technical support to Colby faculty, staff, and students, translating research-level AI concepts into practical, adoptable tools.

AI Research Assistant (2024-2026):

Engineered private RAG solutions for consumer hardware and optimized open-source LLMs to significantly improve guardian model content filtering accuracy.

Machine Learning Researcher (2024-2026):

Architected DCNNs and RNNs to explore computationally important components of primate heading perception mechanisms.

CS Teaching Assistant (2023-2025)

Mentored students in debugging complex code and partnered with faculty to refine curriculum based on student performance trends.

See full work history and resume →

Featured Project Portfolio

Institutional Local LLM Development + Deployment Pipeline

JUN '25 - PRESENT

A developer pipeline for fine-tuning and deploying locally hosted LLM models. Hot-swaps LoRA adapters to serve multiple fine-tuned models from a single set of loaded weights, greatly increasing the number of custom models servable per GPU.

SAGE - A Self-updating AI Research Glossary for Education

OCT '25 - JUL '26

A living glossary cataloguing bleeding-edge AI research with end-to-end data pipelines and LLM-powered data extration.

EchoBot - Secure RAG for Archival Search

MAR '26 - JUN '26

A chatbot leveraging a custom LLM inference system utilizing a guardian model and vector database. Options for both API-based and local inference.

Sentiment Analysis Microservice

NOV '25 - DEC '25

ML pipeline from model inference to data persistence and visualization using FastAPI, Hugging Face Transformers, PostgreSQL, and Docker.

DCNN + RNN Model Library

MAY '25 - AUG '25

TensorFlow-based custom neural net design library for building, training, and testing models for heading perception tasks.

Full project code & details on GitHub →

Education

Colby College ('22-'26)

B.A. in Computer Science: AI concentration & Philosophy

Relevant Coursework: Neural Networks, Deep Learning, Statistics & Data Science, Mathematical Data Analysis & Visualization, Linear Algebra, Multi-Variable Calculus, Computing Ethics, AI & Human Values, Bio-Inspired Machine Learning
I've presented my work five times across two undergraduate research venues, including CLAS, the largest undergraduate research symposium of any liberal arts college in the country.
Awarded the Philosophy department's 2026 Stephen Coburn Pepper Prize for best graduating major in recognition of outstanding philosophical work.
As a student leader, I've been featured in a couple of articles about Colby's Institute for Artificial Intelligence; check them out here and here.
My work at the Davis Institute for Artificial Intelligence was featured in Colby's second issue of the Journal of Writing With and About AI.

Miscellaneous

This site was built with HTML/CSS/JS by hand; no AI involved. I find building websites a fun break from my normal engineering work. I also have a site on neocities I update weekly.
Outside of programming, my main hobbies include art and photography. I also know how to blacksmith, check it out here.