Daniel Capecci

I work on practical machine learning, full-stack applications, and security-adjacent products with a bias toward simple systems, sharp interfaces, and reliable delivery.

GitHub

Google Scholar Revive Labs

AI and ML

Research and applied systems spanning representation learning, model development, and practical tooling.

Full-stack engineering

Product-facing software across web, backend, mobile, and infrastructure with an emphasis on clean delivery.

Hardware-adjacent systems

Work at the boundary of software, embedded systems, and engineering-oriented problem solving.

Selected projects

A few things I have built across developer tooling, research infrastructure, and applied ML.

promptwho

Promptwho is an LLM attribution harness built in Rust that tracks which conversations produced committed code and connects that history back to the codebase resources.

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RustLLMsTypescriptSvelteDeveloper Tooling

shki

A drizzle-orm inspired database schema management and migration tool for Rust.

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RustLuaDeveloper ToolingPostgreSQLMySQLSQLite

torchinstaller

Cross-platform PyTorch installation helper that detects the local system and installs the right build with minimal setup.

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PythonPyPIDeveloper Tooling

aibox

A personal collection of utilities and workflows for AI research, experimentation, and model development.

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AIResearchUtilities

nlgraph

Prototype netlist-to-graph parser for representing circuit designs as graph data for machine learning workflows.

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GNNsEDAResearch Prototype

Signals

A quick snapshot of background, tools, and credentials.

Education

M.S. in Electrical and Computer Engineering

University of Florida

B.S. in Mechanical Engineering

University of South Florida

Certification

AWS Certified Cloud Practitioner

Amazon Web Services Training & Certification

Fundamental understanding of IT services and their uses in the AWS Cloud. Demonstrated cloud fluency and foundational AWS knowledge. Badge owners are able to identify essential AWS services necessary to set up AWS-focused projects.

Verify

Environment

Everyday development built around dotfiles, tmux, Neovim, and chezmoi.

Tools and skills

Technologies I have used across software, data, and engineering work.

Programming Languages

Python

Swift

Rust

C++

Obj-C

LaTeX

Java

HTML5

CSS

MySQL

PostgreSQL

SQLLite

PHP

JavaScript

Typescript

Development Frameworks

React

React Router

Bun

Node JS

Drizzle

PyTorch ⚡ PyTorch-Lightning 🤗 Huggingface AllenNLP

Tensorflow

Keras

Pandas

Matplotlib

Scikit-learn Scikit-image

OpenCV

NumPy

NetworkX

Anaconda

macOS/iOS Development

Svelte/SvelteKit

Astro.js

Supabase

Angular

Arduino

Firebase

Tauri

Software Tools

Git

GitHub

GitLab

GitHub Actions

Docker

Linux

macOS

Shell Scripting

Neovim Tmux

Engineering Software

Solidworks

NI LabView

Matlab

MathCAD

Biomechanics Analysis

VICON Nexus Motek Medical D-Flow