Projects

Work where physics, messy data, and operational decisions meet. Industry projects are described qualitatively; open-source projects link to code and live demos.

Applied ML for hardware reliability and sensing

Repair recommendation, failure diagnosis, and multichannel sensing turned into calibrated operational decisions.

Hardware diagnostics and repair recommendations

Industry work

Production ML decision systems that fuse server telemetry, logs, and repair history into calibrated, component-level repair recommendations for AWS EC2.

Python
PyTorch
SageMaker
Time-series ML
Calibration

Multimodal sensing for Just Walk Out

Industry work

Capacitive and RFID sensing science for AWS Just Walk Out, turning multi-channel sensor time series into reliable per-item event decisions.

Signal processing
CUSUM
Bayesian inference
Transformers
RFID

Physics-based engineering and simulation

Electromagnetic solvers, phased-array models, and antenna design in code, with an LLM agent driving the workflow.

Agentic Phased Array Builder

An LLM agent that orchestrates electromagnetic solvers and array models through the Model Context Protocol, running auditable phased-array workflows from unit cell to system metrics.

Python
LLM agents
MCP
EdgeFEM
Phased-array modeling

Phased Array Antenna Model

Live demo

A vectorized Python library for phased-array antenna patterns (mutual coupling, phase quantization, beam steering), with a live interactive demo.

Python
NumPy
SciPy
Plotly
Streamlit

EdgeFEM

An open-source C++20 finite-element electromagnetic solver for RF and mmWave: S-parameters and radiation patterns from 100 kHz to 110 GHz.

C++20
Python
Eigen
Gmsh
pybind11

Helicopter apprenticeship-learning simulator

Live demo

An interactive browser simulator of the Abbeel-Coates-Ng autonomous helicopter: rigid-body flight physics, apprenticeship trajectory learning, system identification, and LQR control.

TypeScript
Three.js
Vite
LQR
EM / Kalman smoothing

Open-source tools for engineering decisions

Trade-study frameworks and optimization packages for system-level engineering decisions.

Phased array system trade studies

A requirements-driven Python framework for phased-array system design: DOE and Pareto trade studies over link budgets, radar detection, RF cascade, reliability, and cost.

Python
NumPy
SciPy
pandas
pydantic

Orbital data center feasibility (spacedc-mdao)

Live demo

A multidisciplinary design and optimization study of space-based data centers, accounting for power, thermal, network, and reliability constraints together.

Python
OpenMDAO
pymoo
SALib
Streamlit

Axial-flux actuator MDO (axfluxmdo)

An open-source Python toolkit for early-stage axial-flux motor design: analytical models, 2.5D annular analysis, Pareto trade studies, and FEA and Bayesian-optimization hooks, aimed at robot actuators.

Python
NumPy
OpenMDAO
pymoo
scikit-learn
Gmsh/GetDP

Satcom systems toolkit (opensatcom)

An open-source Python toolkit for satellite communications engineering: snapshot link budgets, ITU-R propagation, a DVB-S2 modem, multibeam payloads, mission simulation, and Pareto trade studies.

Python
NumPy
SciPy
pandas
Plotly

More on GitHub

Other packages and research code, available at github.com/jman4162.