Stuart T. Hamilton
Aerospace Engineering Portfolio
What lies behind us and what lies before us are tiny matters compared to what lies within us.
— Ralph Waldo EmersonHome01/07
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ViewTeams and labs
02/07
ViewPropulsion Systems Engineer
A student-led team at Georgia Tech building the autonomous systems that fly a self-landing rocket. The goal is to be the first student group anywhere to take a hybrid rocket through vertical takeoff and landing, which puts guidance, propulsion and recovery on the same critical path.
ViewCombustion & Propulsion Systems Engineer
Founded in October 2023 to break the sound barrier with a fixed-wing UAV designed and built by students. Vehicle programs span high-speed cruise through high-g loads, and the team is organised into five technical disciplines covering both the engineering and the logistics of getting an aircraft built, so knowledge transfers as members graduate.
ViewUndergraduate Researcher
Dr. Seung Soon Jang's group in the School of Materials Science and Engineering. My work models sorbent behaviour for carbon capture, characterising how material structure drives capture performance and what limits it, through density functional theory and molecular dynamics simulations of material systems. A publication is expected by summer 2027.
Selected work
03/07Select a project title to open its full write-up.
Hybrid rocket propulsion at the kilonewton scale.
The main engine for Monarch, a reusable hybrid lander. Nitrous oxide oxidiser burns against a cast paraffin grain at 40 barA chamber pressure, holding an average O/F of 7.1 across a 40 second burn. A short pre-combustion chamber addresses the partial combustion that liquefying fuels are prone to.
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ViewParaffin cast into an ABS gyroid lattice at 10 percent infill. The lattice carries structural load the wax cannot, which keeps the grain intact under pressure and acceleration, and the open cell fraction is low enough that regression rate tracks a solid cast grain. It also makes the part straightforward to produce in house.
Paraffin · ABS gyroid · 10% infill
ViewA showerhead face that meters nitrous oxide into the chamber, with a dense orifice pattern and a central swirl element. Spray distribution sets how evenly the grain regresses, and a three centimetre pre-combustion volume sits behind it to anchor a stable flame before the flow reaches the fuel.
CEA · CFD · Hot-fire data
ViewThe main combustion chamber runs roughly 23 centimetres and is sized around a 40 barA operating pressure and a 40 second burn. The mixture is held slightly fuel rich at an average O/F of 7.1, which trades a little specific impulse for cooler wall temperatures and more margin on the ablative surfaces.
Chamber sizing · O/F sweeps · Thermal
ViewThrust is set by the oxidiser flow rate, so the feed system and its instrumentation are part of the engine. Chamber pressure, feed conditions and valve position are logged through every hot fire and compared with the predicted regression and O/F history, which is what a landing burn needs before it can be throttled.
Instrumentation · Data reduction · Hot fire
ViewOne verified answer from a panel of models.
A desktop assistant that answers by consensus. Each question is put to a panel of more than 20 models, whose replies are weighted, fact-checked and reconciled into one response. It tracks the user's gaze, reads the screen and camera, and integrates with mail, calendar, Canvas, Spotify and CAD.
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ViewA calibration and inference pipeline built on MIT’s eye-tracking research that maps a webcam feed to a point on the display. Three guided poses establish the baseline, after which gaze serves as both a pointer and a context signal, allowing the assistant to resolve references to whatever the user is currently viewing.
Python · OpenCV · MIT gaze model
ViewCaptures the active display, isolates the region under the user’s gaze and converts it into structured context for the panel, whether that is a figure, a table, a plot or a page of coursework. The camera feed extends the same capability to the physical workspace, with a live link to Meta glasses planned.
Python · Computer vision · OCR
ViewThe layer that reduces twenty replies to one. Responses are weighted, contradictions are surfaced and resolved, claims are verified with sources and outliers are rejected. Model health, latency and rate-limit state are tracked continuously so that a degraded provider is removed from the vote automatically.
Java · Python · 25+ APIs
ViewA triage layer that assesses each request before committing resources to it. Simple queries are routed to a fast lightweight model while complex ones escalate to the full panel, keeping latency and cost proportional to the difficulty of the question.
Python · MATLAB · Java
ViewA unified workstation for quantitative market research.
A desktop workstation for quantitative finance research. Market data, filings, statistics, options analytics and backtests draw on one cached data layer, and an AI analyst reads the technical, fundamental and risk models together and reports where they disagree. A date-aware mode holds every tool to a chosen date.
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ViewAn autonomous search agent that works a topic rather than returning links. It navigates deep into sites, collects filings, reports and news, and cross-references what it finds until the fragments form one research picture. SEC filings can be queried directly, so an answer comes from the document instead of a summary of it.
Python · Web scraping · LLM agents
ViewReads company financials the way an analyst would: statements, earnings, margins, cash flow and returns on capital, broken out by business division where the reporting allows it. Discounted cash flows and bull, base and bear cases are built automatically, and live sentiment marks where price and fundamentals have separated.
Python · DCF modelling · Sentiment analysis
ViewThe statistical core of the platform. It computes return distributions, variance, percentiles and correlation, then extends into higher moments, conditional probability, volatility and the options Greeks. Portfolio risk comes back as beta, Sharpe, drawdown and value at risk. A strategy has to clear a backtest, a walk-forward test and a Monte Carlo run before it is used.
Python · NumPy · Monte Carlo
ViewSweeps thousands of securities across hundreds of technical, fundamental and quantitative criteria at once. Filters run on price and volume, on volatility and momentum, on gaps, and on expected movement weighted by how likely it is. A described market condition returns its matching names in seconds.
Python · SQLite · Parquet
ViewIn progress
Work that is under way and not yet written up here. Each will be added once there is something to show beyond a description.
Tools and practice
04/07
SolidWorks
CATIA
Siemens NX
AutoCAD
Autodesk Inventor
Autodesk Fusion
Onshape
FreeCAD
Ansys
CFturbo
STAR-CCM+
OpenFOAM
Siemens Simcenter
OpenRocket
NASA CEA
MATLAB
Simulink
Python
C++
C#
C
Java
JavaScript
Html
Css
Lua
PowerShell
NumPy
SciPy
Pandas
Matplotlib
PyTorch
Wolfram Language
Mathematica
LaTeX
Git
GitHub
Visual Studio
VS Code
IntelliJ IDEA
PyCharm
Eclipse
JupyterLab
Multisim
LTspice
SQLite
Unity
Blender
OpenAI API
Anthropic API
Gemini APISoftware and languages in regular use, grouped by what they are used for.
SolidWorksCATIASiemens NXAutoCADAutodesk InventorAutodesk FusionOnshapeFreeCADAnsys MechanicalAnsys FluentAnsys WorkbenchAnsys DiscoveryAnsys SpaceClaimCFturboSTAR-CCM+OpenFOAMSiemens SimcenterOpenRocketNASA CEAMATLABSimulinkPythonC++C#CJavaJavaScriptHtmlCssLuaPowerShellNumPySciPyPandasMatplotlibPyTorchWolfram LanguageMathematicaLaTeXGitGitHubVisual StudioVS CodeIntelliJ IDEAPyCharmEclipseJupyterLabMultisimLTspiceSQLiteUnityBlenderOpenAI APIAnthropic APIGemini APIHow the work is carried out, from the shop floor to the schedule.
Most of my hands-on work is designing, building and testing propulsion hardware. Time on manual lathes, mills and 3D printers shapes how I draw a part, because a design should reach the shop ready to make instead of being fixed there. I model in SolidWorks, run flow and thermal studies in Flow Simulation and CFD, and check structures with finite element analysis in Ansys. On the test stand I handle the instrumentation, the data acquisition and the Python behind both, since a test is only as useful as the data it records.
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ViewMy coursework covers the core of aerospace and mechanical engineering: jet and rocket propulsion, aerodynamics, thermodynamics, vibrations and dynamics, control systems, statics, differential equations, and probability and statistics, along with engineering computations and GD&T from my first year in mechanical engineering. Around that I lean on numerical, statistical and optimization methods, and I read past the syllabus whenever a project needs more than a course covers. Results that matter get checked by hand before I trust them, whether they come out of a simulation, a spreadsheet or a model.
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ViewI handle much of the scheduling, purchasing and documentation on the teams I work with. Hardware is ordered from a sourced bill of materials, and every subsystem works from one shared schedule, so dependencies show up before they turn into delays. I plan and run tests, write the technical documentation that goes with them, and work through failure analysis and troubleshooting with the group when something doesn't go to plan. Before engineering, I was a team lead at Panera Bread, supervising shifts and training new employees, which is where I learned to keep a group organized and moving.
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ViewBackground
05/07
Seeking a Summer 2027 internship · Eligible for security clearance
I’m an aerospace engineering student at Georgia Tech, and I grew up in Mechanicsburg, Pennsylvania.
I got into engineering by wondering how things are built and why they break, and that question still drives most of what I do outside of class. A design can look right on paper and still be wrong, so the work I enjoy most is the kind that gets built and tested, where the hardware tells me whether I was right. I treat coursework and research as checks on each other, since each fills in what the other can’t reach. When I’m away from the desk, I’m usually biking, hiking, lifting or drawing. On a team, I value people who are willing to be wrong early, in front of a test stand or a colleague, instead of late and in front of a customer.
B.S. Aerospace Engineering
Georgia Institute of TechnologyExpected May 2028
Coursework
A Summer 2027 internship in aerospace or mechanical engineering is the near-term objective. Most of that work is analysis, and the part I find most instructive is the point at which a prediction meets the hardware it was written for, since that is where the assumptions are either confirmed or shown to have been wrong. Over a longer horizon the intent is to carry systems from concept through qualification and flight.
Independent study
Learning does not stop when the coursework does.
Much of my free time goes to subjects that no class assigns. I take up new topics and new languages on my own, and work through each one until I can use it rather than only recognize it. The habit carries into every project: when a problem calls for a method I do not yet know, learning that method becomes part of the work.
Workstation
My computer runs Arch Linux.
Arch installs as a minimal base and is assembled by hand, so the system holds only what I chose to put on it and I know how each part fits together. It is a rolling release, which keeps compilers and libraries current, and it expects its user to read the documentation and repair what breaks. That makes it both a working environment and an ongoing lesson in how an operating system is put together.
From my Spotify: most played artists and tracks.
35minutes, as a single continuous piece that fills the whole album.
Milestones
06/07Past entries are dated from records. Hollow markers are still ahead.
Began undergraduate studies in mechanical engineering.
Finished at George Washington University and transferred to Georgia Tech for aerospace engineering.
Propulsion Systems Engineer on the hybrid lander.
Undergraduate Researcher modeling sorbents for carbon capture.
Combustion & Propulsion Systems Engineer.
Seeking an internship in aerospace or mechanical engineering.
Georgia Institute of Technology.
