Selected work

Projects, ordered by where I am headed.

Applied digital intelligence and data engineering, most where biology meets software

The methods carry over to any field with messy data. A couple are client engagements I can only describe abstractly, and most of the rest are open source.

The AMR knowledge graph, thousands of genes, pathogens, and drugs laid out by structure and colored by type

01Ontology / Knowledge Graph

AMR Intelligence Platform

An open knowledge graph for antimicrobial resistance, built entirely on public data: resistant pathogens, resistance genes, the drugs they defeat, and where they spread.

PythonNeo4jPydanticPrefect

02PTRME / WFIRMConfidential

Situational Search

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

PythonStreamlitOpenAI APIpandas

frontier

prompt

competitors

03Confidential CDMOConfidential

Generative Engine Optimization Pipeline

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

PythonOpenRouterOpenAIAnthropic

ATCG

FASTA to protein

04Bioinformatics

DNA Sequence Analyzer

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

PythonBiopythonFASTACSV

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

05Signal Analysis

EEG Brainwave Plotter

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

PythonpandasmatplotlibTkinter

Movie Review Sentiment Classifier

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

PythonPyTorchscikit-learnNLTK

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

07Edge ML

Pi.vision Edge ML

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

Raspberry Pi 5Camera HATPythonBash