Selected work

Projects, ordered by where I am headed.

Applied AI and data engineering. Most of these problems live where biology meets software, but the methods carry over to any field with messy data. Two are client engagements I can only describe abstractly. The rest are open source.

01PTRME / WFIRMConfidential

Situational Search

AI investor matching across a regenerative-medicine ecosystem of hundreds of biotech companies.

PythonStreamlitOpenAI API

frontier

prompt

competitors

02Confidential CDMOConfidential

Generative Engine Optimization Pipeline

A production pipeline measuring brand visibility across four frontier LLMs for a CDMO client.

PythonOpenRouterOpenAI

ATCG

FASTA to protein

03Bioinformatics

DNA Sequence Analyzer

A single-pass FASTA toolkit: nucleotide counts, GC content, restriction sites, and protein translation.

PythonBiopythonFASTA

A 2 by 3 grid of EEG frequency-band line charts comparing disorders

04Signal Analysis

EEG Brainwave Plotter

An interactive tool that turns a wide EEG ML dataset into readable per-disorder brainwave plots.

Pythonpandasmatplotlib

Movie Review Sentiment Classifier

An end-to-end LSTM sentiment pipeline on IMDB, from raw text to real-time inference.

PythonPyTorchscikit-learn

Raspberry Pi 5 live camera detection identifying a keyboard at 94.51 percent confidence

06Edge ML

Pi.vision Edge AI

Real-time edge-AI computer vision on a Raspberry Pi 5, packaged as a reproducible classroom build.

Raspberry Pi 5AI Camera HATPython