Full-stack systems engineer bridging applications, integrations, and applied research. I build the tooling, agents, and harnesses that turn hard problems into shipped products.
Twelve years writing code — it started with Python fractal notebooks in 2014 — and eight years shipping professionally: mobile apps, developer tooling, and computational-math tools, lately multi-agent AI systems and applied-optimization prototypes. I like closing the gap between a hard technical capability and the people who need to use it.
An always-on assistant with a tag-based tool protocol, rolling long-term memory, and vision delegation — routing across an on-device model, hosted models via OpenRouter, and a private Bedrock/Claude proxy I deployed and operate.
A best-first (uniform-cost) variant of Knuth's Algorithm X that yields solutions cheapest-first under a cost function — then the same problem reduced to a neutral-atom quantum optimizer, emulated on Pasqal Cloud and validated against the Fresnel QPU spec — including runs that map where the reduction stops fitting the hardware and a just-intonation reformulation that brings it back. Python / NumPy ported to TypeScript to run live in the browser.
Rewrote a native app hard-coded for two facilities into an interpreter for a process-flow IR — server-driven UI and actions of my own design — so any facility can be onboarded from typed configuration without an app release. Real-time gating by staff over high-priority push, geofenced progression, four facilities in production at ~100 drivers a day.
Rewrote a Flutter app into React Native for an overnight home sleep study: compiled EDFlib (C) into Expo as a Nitro module to write clinical EDF+ files, reverse-engineered the wearable's undocumented BLE protocol byte by byte (commands, framing, CRC-8), and kept multi-night acquisition alive through background tasks and an Android foreground service.
Extracts palettes by training a self-organizing map over an image on a chosen topology (torus, Klein bottle, and more), then reading the organized colors back out.
Interactive apps and integration builds shipped under my own studio — from real-time games to web tooling and third-party service integrations.
A closed-form parameterization of irregular hexagonal origami tessellations — periodic 2D lattice crease patterns driven by a single folding parameter — so a one-part, single-degree-of-freedom gripper folds to conform to an arbitrary object contour. A linear-time crease-pattern generator, a fold simulator built on homogeneous transformation matrices, and paper prototypes cut, folded, and tested on three irregular objects.
First full-time software engineer on the IT team. Led the guest-facing mobile platform rewrite from Ionic to React Native / Expo — full platform to production in under a year — and expanded into server architecture and AWS / Azure infrastructure.
My studio for open-source graphics, generative art, and creative-technical tools — Palettope, Demowall (shipped to Google Play), and applied AI-assistant infrastructure.
Led development of multiple production mobile apps at a custom software firm: rewrote legacy apps into React Native, built server-driven UI systems, GraphQL / REST integrations, and EAS / Fastlane CI-CD pipelines.
Built a Xamarin mobile platform for restaurant meal-pickup and loyalty — secure token management, invitation-promotion systems, and automated promo-card generation.
Coursework: Embedded Control (STM32 labs; hybrid automata, concurrent state machines, real-time systems), Electronic Motor Control, Kinematics and Control of Robotic Systems, Autonomous Robotic Systems, Digital Image Processing, Applied Math for Engineers (ODEs, Fourier and PDEs, linear programming and graph optimization), and Quantitative Empirical Research Methods. Teaching assistant for Mechatronics (two semesters) and Skills and Design 2. Thesis: origami tessellation grippers.
Highlights: a Python simulation of an autonomous field robot mapping crops with lidar and grid-based path planning; a literature review of fiber-Bragg-grating shape sensing for closed-loop control of compliant mechanisms, plus a paired project designing, analyzing, and 3D-printing a compliant mechanism in TPU — the precursor to the thesis; a review of embedded real-time control in glucose monitoring; a student-delivered lecture on rotary encoders (incremental, quadrature, absolute); seven Python image-processing projects — spatial and frequency-domain filtering, color, morphology — at full marks, plus a paired final; and a regression study predicting MOOC popularity from the Harvard/MIT dataset, in R.
Coursework: Unique Nanoscale Phenomena and Interfaces, a two-course Instrumentation and Characterization sequence, Materials Science, Circuits, Artificial Intelligence, Data Structures and Algorithms, Linear Algebra, Differential Equations, and Discrete Mathematics — alongside the mechanical core (statics, dynamics, thermodynamics, fluids, heat transfer).
Highlights: gold-nanoparticle synthesis, ligand exchange, and a multi-week aggregation-kinetics study by UV-Vis spectroscopy against Mie theory, in first-year nanoscale phenomena; an instrumentation sequence across XRD, SEM, AFM, TEM, XRF/EDS, UV-Vis, and FTIR, with final projects on metamerism in paint mixtures (UV-Vis reflectance spectra against light-source SPDs) and a non-destructive authentication plan for a gold coin and dagger from the St. Augustine Pirate & Treasure Museum (XRF, ultrasound, helium pycnometry, Barkhausen noise); a CLIPS expert system in Artificial Intelligence; and group projects in Data Structures and Algorithms.